U.S. patent application number 14/589287 was filed with the patent office on 2015-04-23 for methods and systems of aggregating information of social networks based on geographical locations via a network.
This patent application is currently assigned to SNAP TRENDS, INC.. The applicant listed for this patent is Brandon C. Burris. Invention is credited to Brandon C. Burris.
Application Number | 20150113017 14/589287 |
Document ID | / |
Family ID | 49115004 |
Filed Date | 2015-04-23 |
United States Patent
Application |
20150113017 |
Kind Code |
A1 |
Burris; Brandon C. |
April 23, 2015 |
METHODS AND SYSTEMS OF AGGREGATING INFORMATION OF SOCIAL NETWORKS
BASED ON GEOGRAPHICAL LOCATIONS VIA A NETWORK
Abstract
One or more systems, devices, methods, and/or processes
described can apply searches and/or filters to data of social
networks with respect to one or more geographical locations,
geospatial references, location-based contexts, and/or map-based
references. One or more social networks can be queried with search
and/or filter parameters and one or more geographic locations, and
results received from the social network(s) can be based on the
search and/or filter parameter(s) and the geographic location(s)
and presented to a user on a map or other user interface.
Inventors: |
Burris; Brandon C.; (Austin,
TX) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
Burris; Brandon C. |
Austin |
TX |
US |
|
|
Assignee: |
SNAP TRENDS, INC.
Austin
TX
|
Family ID: |
49115004 |
Appl. No.: |
14/589287 |
Filed: |
January 5, 2015 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
13677158 |
Nov 14, 2012 |
|
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14589287 |
|
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Current U.S.
Class: |
707/769 |
Current CPC
Class: |
G06Q 50/01 20130101;
G06F 16/43 20190101; G06F 16/9537 20190101; H04W 4/21 20180201;
G06F 16/29 20190101; H04L 67/22 20130101; H04W 4/021 20130101 |
Class at
Publication: |
707/769 |
International
Class: |
G06F 17/30 20060101
G06F017/30; H04L 29/08 20060101 H04L029/08 |
Claims
1. A system, comprising: a processor; a network interface, coupled
to the processor and coupled to a network; and a memory device
coupled to the processor, wherein the memory device stores
instructions that are executed by the processor, wherein the
system: generates a first query of at least one social network
media data source comprising a first input indicating a first
location, a second input indicating a first geographical search
region associated with the first location, and a third input
indicating search data, wherein the first geographical search
region is an unsupported geographical search region shape that is
not a supported geographical search region shape for one or more
interfaces of the at least one social network media data source
such that the first query is not supported as a query of the at
least one social network media data source, wherein the at least
one social network media data source stores user-provided data from
a plurality of users provided to one or more social networks of the
at least one social network media data source via a plurality of
computing devices at a plurality of locations; determines a pattern
of a plurality of supported geographical search region shapes,
wherein the pattern of the plurality of supported geographical
search region shapes is determined to cover at least the
unsupported geographical search region such that the pattern of the
plurality of supported geographical search region shapes is
inclusive of the first unsupported geographical search region
shape, and further wherein the pattern of the plurality of
supported geographical search region shapes is determined to
include at least a first supported geographical search region shape
of the plurality of supported geographical search region shapes
supported by the one or more interfaces of the at least one social
network media data source and a second supported geographical
search region shape of the plurality of supported geographical
search region shapes supported by the one or more interfaces of the
at least one social network media data source, wherein at least a
portion of the second supported geographical search region shape is
determined to comprise an interior of the first unsupported
geographical search region shape, and further determines the
pattern of the plurality of supported geographical search region
shapes such that the first supported geographical search region
shape does not include the second supported geographical search
region shape of the plurality of supported geographical search
region shapes; generates at least one query translating the first
query in accordance with the one or more interfaces of the at least
one social network media data source such that the at least one
query is supported as a query of the at least one social network
media data source, and the at least one query specifies, in
accordance with the one or more interfaces of the at least one
social network media data source, the pattern of the plurality of
supported geographical search region shapes supported by the one or
more interfaces of the at least one social network media data
source; provides, via the network interface and the network, the at
least one query, comprising the pattern of the plurality of
supported geographical search region shapes supported by the one or
more interfaces of the at least one social network media data
source, to the at least one social network media data source; and
receives, from the at least one social network media data source
via the network interface and the network, at least one result
based on the at least one query, including based on at least the
pattern of the plurality of supported geographical search region
shapes.
2. The system of claim 1, wherein the at least one query has at
least one of a word, a plurality of words, a phrase, a user
profile, a portion of a user profile, a regular expression, a
natural language filter, a grammar, a social group, an
organization, and a user identification; wherein at least a portion
of the user-provided data from the plurality of users corresponds
to the at least one result and at least one of the word, the
plurality of words, the phrase, the user profile, the portion of
the user profile, the regular expression, the natural language
filter, the grammar, the social group, the organization, and the
user identification; and wherein the at least one result is based
on the at least the portion of the user-provided data from the
plurality of users that corresponds to the at least one result and
the at least one of the word, the plurality of words, the phrase,
the user profile, the portion of the user profile, the regular
expression, the natural language filter, the grammar, the social
group, the organization, and the user identification.
3. The system of claim 2, wherein the user-provided data includes
at least one post to at least one social network service.
4. The system of claim 2, wherein the grammar includes at least one
of a set of formation rules for strings in a language, a
context-free grammar, a regular grammar, a tree-adjoining grammar,
an affix grammar, an attribute grammar, an adaptive grammar, an
ambiguous grammar, and a categorical grammar.
5. The system of claim 2, wherein the user profile includes at
least one of a user name, the user identification, a mobile
telephone number, an email address, a physical address, an
occupation, a gender, a marital status, a past purchase, an
interest, a past transaction, a shoe size, an age, a clothing size,
a political affiliation, a monthly income, a yearly income, an
employment status, a credit history, a credit rating, an eye color,
a hair color, a music genre, and a membership.
6. The system of claim 2, wherein the user-provided data from the
plurality of users includes social network user-provided
content.
7. The system of claim 1, wherein when the system receives, from
the at least one social network media data source via the network
interface and the network, the at least one result based on the
search data that is based on the at least one query, the system
receives a plurality of results that are based on the at least one
query and the pattern of the plurality of supported geographical
search region shapes that include the first unsupported
geographical search region shape, wherein the plurality of results
include the at least one result.
8. The system of claim 7, wherein a first result of the plurality
of results is associated with a location of the plurality of
locations that is located outside the first geographical search
region and within at least one of the pattern of the plurality of
supported geographical search regions; and wherein the system
further eliminates the first result of the plurality of results
that is associated with the location of the plurality of locations
that is located outside the first geographical search region and
within the at least one of the pattern of the plurality of
supported geographical search regions.
9. The system of claim 1, wherein the system further provides a map
to a user and the user indicates the first geographical search
region on the map.
10. The system of claim 9, wherein the at least one result includes
at least one location of the plurality of locations; and wherein
the system further provides the at least one location of the
plurality of locations to a user via the map.
11. The system of claim 9, wherein when the system receives, from
the at least one social network media data source via the network,
the at least one result based on the at least one query and based
on user-provided data stored via the at least one social network
media data source, the system receives, from the at least one
social network media data source via the network, a first plurality
of results based on the at least one query and based on the
user-provided data stored via the at least one social network media
data source that includes the at least one result based on the at
least one query and based on the user-provided data stored via the
at least one social network media data source, wherein the first
plurality of results include at least two locations of the
plurality of locations and wherein each of the first plurality of
results corresponds to at least one of the two locations of the
plurality of locations; wherein the system further provides the at
least one of the two locations of the plurality of locations to a
user via the map.
12. The system of claim 1, wherein the system further: receives
first input indicating the first location from a computing device;
receives second input indicating the first geographical search
region associated with the first location from the computing
device; receives the third input indicating the search data from
the computing device; and provides the at least the first result to
the computing device.
13. The system of claim 1, wherein the system further provides a
map to a user wherein the map indicates at least one location of
the plurality of locations that corresponds to the at least one
result based on the at least one query and based on location-based
data stored via the at least one social network media data
source.
14. The system of claim 1, wherein the user-provided data stored
via the at least one social network media data source includes
user-provided data stored via at least one of FACEBOOK social
network media data source, TWITTER social network media data
source, YOUTUBE social network media data source, WEIBO social
network media data source, a blog, a wiki, FOURSQUARE social
network media data source, INSTAGRAM social network media data
source, FLICKR social network media data source, VIMEO social
network media data source, and YELP social network media data
source.
15. The system of claim 1, wherein at least one of the plurality of
locations is determined via a position device of at least one of
the plurality of computing devices; and wherein the user-provided
data from the plurality of users provided via the plurality of
computing devices includes the at least one of the plurality of
locations determined via the position device of the at least one of
the plurality of computing devices.
16. The system of claim 1, wherein the system receives the first
input indicating the first location, and the system receives the
first input indicating the first location from a computing device
via the network interface and the network; wherein the system
receives the second input indicating the first geographical search
region associated with the first location from the computing
device, and the system receives the second input indicating the
first geographical search region associated with the first location
from the computing device via the network interface and the
network; wherein the system receives the search data from the
computing device, and the system receives the search data from the
computing device via the network interface and the network; and
wherein the system provides the at least one result to the
computing device, and the system provides the at least one result
to the computing device via the network interface and the
network.
17. The system of claim 1, wherein the system is coupled to a
storage; and wherein when the instructions are executed by the
processor, the system further stores the at least one query in the
storage; after an amount of time transpiring, retrieves the at
least one query from the storage; provides, via the network, the at
least one query from the storage to the at least one social network
media data source; receives, from the at least one social network
media data source via the network, at least a second result based
on the at least one query from storage and based on the
user-provided data stored via the at least one social network media
data source; and provides the at least the second result to the
computing device.
18. A non-transitory computer readable memory device that stores
instructions, which when executed by a processor, the processor:
generates a first query of at least one social network media data
source comprising a first input indicating a first location, a
second input indicating a first geographical search region
associated with the first location, and a third input indicating
search data, wherein the first geographical search region is an
unsupported geographical search region shape that is not a
supported geographical search region shape for one or more
interfaces of the at least one social network media data source
such that the first query is not supported as a query of the at
least one social network media data source, wherein the at least
one social network media data source stores user-provided data from
a plurality of users provided to one or more social networks of the
at least one social network media data source via a plurality of
computing devices at a plurality of locations; determines a pattern
of a plurality of supported geographical search region shapes,
wherein the pattern of the plurality of supported geographical
search region shapes is determined to cover at least the
unsupported geographical search region such that the pattern of the
plurality of supported geographical search region shapes is
inclusive of the first unsupported geographical search region
shape, and further wherein the pattern of the plurality of
supported geographical search region shapes is determined to
include at least a first supported geographical search region shape
of the plurality of supported geographical search region shapes
supported by the one or more interfaces of the at least one social
network media data source and a second supported geographical
search region shape of the plurality of supported geographical
search region shapes supported by the one or more interfaces of the
at least one social network media data source, wherein at least a
portion of the second supported geographical search region shape is
determined to comprise an interior of the first unsupported
geographical search region shape, and further determines the
pattern of the plurality of supported geographical search region
shapes such that the first supported geographical search region
shape does not include the second supported geographical search
region shape of the plurality of supported geographical search
region shapes; generates at least one query translating the first
query in accordance with the one or more interfaces of the at least
one social network media data source such that the at least one
query is supported as a query of the at least one social network
media data source, and the at least one query specifies, in
accordance with the one or more interfaces of the at least one
social network media data source, the pattern of the plurality of
supported geographical search region shapes supported by the one or
more interfaces of the at least one social network media data
source; provides, via the network interface and the network, the at
least one query, comprising the pattern of the plurality of
supported geographical search region shapes supported by the one or
more interfaces of the at least one social network media data
source, to the at least one social network media data source; and
receives, from the at least one social network media data source
via the network interface and the network, at least one result
based on the at least one query, including based on at least the
pattern of the plurality of supported geographical search region
shapes.
19. A method, comprising: generating a first query of at least one
social network media data source comprising a first input
indicating a first location, a second input indicating a first
geographical search region associated with the first location, and
a third input indicating search data, wherein the first
geographical search region is an unsupported geographical search
region shape that is not a supported geographical search region
shape for one or more interfaces of the at least one social network
media data source such that the first query is not supported as a
query of the at least one social network media data source, wherein
the at least one social network media data source stores
user-provided data from a plurality of users provided to one or
more social networks of the at least one social network media data
source via a plurality of computing devices at a plurality of
locations; determining a pattern of a plurality of supported
geographical search region shapes, wherein the pattern of the
plurality of supported geographical search region shapes is
determined to cover at least the unsupported geographical search
region such that the pattern of the plurality of supported
geographical search region shapes is inclusive of the first
unsupported geographical search region shape, and further wherein
the pattern of the plurality of supported geographical search
region shapes is determined to include at least a first supported
geographical search region shape of the plurality of supported
geographical search region shapes supported by the one or more
interfaces of the at least one social network media data source and
a second supported geographical search region shape of the
plurality of supported geographical search region shapes supported
by the one or more interfaces of the at least one social network
media data source, wherein at least a portion of the second
supported geographical search region shape is determined to
comprise an interior of the first unsupported geographical search
region shape, and further determines the pattern of the plurality
of supported geographical search region shapes such that the first
supported geographical search region shape does not include the
second supported geographical search region shape of the plurality
of supported geographical search region shapes; generating at least
one query translating the first query in accordance with the one or
more interfaces of the at least one social network media data
source such that the at least one query is supported as a query of
the at least one social network media data source, and the at least
one query specifies, in accordance with the one or more interfaces
of the at least one social network media data source, the pattern
of the plurality of supported geographical search region shapes
supported by the one or more interfaces of the at least one social
network media data source; providing, via the network interface and
the network, the at least one query, comprising the pattern of the
plurality of supported geographical search region shapes supported
by the one or more interfaces of the at least one social network
media data source, to the at least one social network media data
source; and receiving, from the at least one social network media
data source via the network interface and the network, at least one
result based on the at least one query, including based on at least
the pattern of the plurality of supported geographical search
region shapes.
20. The method of claim 19, wherein the at least one query has at
least one of a word, a plurality of words, a phrase, a user
profile, a portion of a user profile, a regular expression, a
natural language filter, a grammar, a social group, an
organization, and a user identification; wherein at least a portion
of the user-provided data from the plurality of users corresponds
to the at least one result and at least one of the word, the
plurality of words, the phrase, the user profile, the portion of
the user profile, the regular expression, the natural language
filter, the grammar, the social group, the organization, and the
user identification; and wherein the at least one result is based
on the at least the portion of the user-provided data from the
plurality of users that corresponds to the at least one result and
the at least one of the word, the plurality of words, the phrase,
the user profile, the portion of the user profile, the regular
expression, the natural language filter, the grammar, the social
group, the organization, and the user identification.
21. The method of claim 19, wherein said receiving, from the at
least one social network media data source via the network, the at
least one result based on the at least one query includes receiving
a plurality of results that are based on the at least one query and
the plurality of supported geographical search region shapes that
include the first unsupported geographical search region shape,
wherein the plurality of results include the at least one
result.
22. The method of claim 19, further comprising: providing a map to
a user, wherein the map indicates at least one location of the
plurality of locations that corresponds to the at least one result
based on the at least one query and based on location-based data
stored via the at least one social network media data source.
23. A system, comprising: a network interface for coupling to a
network; a means for generating a first query of at least one
social network media data source comprising a first input
indicating a first location, a second input indicating a first
geographical search region associated with the first location, and
a third input indicating search data, wherein the first
geographical search region is an unsupported geographical search
region shape that is not a supported geographical search region
shape for one or more interfaces of the at least one social network
media data source such that the first query is not supported as a
query of the at least one social network media data source, wherein
the at least one social network media data source stores
user-provided data from a plurality of users provided to one or
more social networks of the at least one social network media data
source via a plurality of computing devices at a plurality of
locations; a means for determining a pattern of a plurality of
supported geographical search region shapes, wherein the pattern of
the plurality of supported geographical search region shapes is
determined to cover at least the unsupported geographical search
region such that the pattern of the plurality of supported
geographical search region shapes is inclusive of the first
unsupported geographical search region shape, and further wherein
the pattern of the plurality of supported geographical search
region shapes is determined to include at least a first supported
geographical search region shape of the plurality of supported
geographical search region shapes supported by the one or more
interfaces of the at least one social network media data source and
a second supported geographical search region shape of the
plurality of supported geographical search region shapes supported
by the one or more interfaces of the at least one social network
media data source, wherein at least a portion of the second
supported geographical search region shape is determined to
comprise an interior of the first unsupported geographical search
region shape, and further determines the pattern of the plurality
of supported geographical search region shapes such that the first
supported geographical search region shape does not include the
second supported geographical search region shape of the plurality
of supported geographical search region shapes; a means for
generating at least one query translating the first query in
accordance with the one or more interfaces of the at least one
social network media data source such that the at least one query
is supported as a query of the at least one social network media
data source, and the at least one query specifies, in accordance
with the one or more interfaces of the at least one social network
media data source, the pattern of the plurality of supported
geographical search region shapes supported by the one or more
interfaces of the at least one social network media data source; a
means for providing, via the network interface and the network, the
at least one query, comprising the pattern of the plurality of
supported geographical search region shapes supported by the one or
more interfaces of the at least one social network media data
source, to the at least one social network media data source; and a
means for receiving, from the at least one social network media
data source via the network interface and the network, at least one
result based on the at least one query, including based on at least
the pattern of the plurality of supported geographical search
region shapes.
Description
PRIORITY
[0001] The present application is a continuation of U.S. patent
application Ser. No. 13/677,158, filed 14 Nov. 2012, titled,
"Methods and Systems of Aggregating Information of Social Networks
Based on Geographical Locations Via a Network," which claims
benefit of U.S. Provisional Application Ser. No. 61/607,971, filed
7 Mar. 2012, titled "An Automated Web Based Software Platform for
Aggregating Content from Social Network Via Geospatial Reference"
and claims benefit of U.S. Provisional Application Ser. No.
61/705,516, filed on 25 Sep. 2012, titled "Methods and Systems of
Aggregating Information of Social Networks Based on Geographical
Locations Via a Network." The contents of each application is
hereby incorporated by reference in its entirety as though fully
and completely set forth herein.
BACKGROUND
[0002] 1. Technical Field
[0003] This disclosure relates generally to the field of social
media data analytics. More specifically, this disclosure relates to
the field of analyzing data of one or more social networks with
references to geographical locations.
[0004] 2. Description of the Related Art
[0005] Social networks receive data from their users and provide a
social structure of sets of individuals, groups, and/or
organizations with multiple dyadic associations and/or ties between
or among the sets of individuals, groups, and/or organizations. For
example, a social network can receive data provided by a user and
share the received data with other users affiliated with the user
and/or affiliated with other users affiliated with one or more
groups and/or organizations. In one instance, the data provided by
the user may include a status (e.g., a personal status), a picture,
a motion picture (e.g., a video), a rating of a venue, a review of
a venue, or an action or activity of the user. In another instance,
the data provided by the user may include a message for one or more
other users affiliated with and/or related to the user. Massive
amounts of useful data have been accumulated on social networks but
have not been strongly leveraged for use in security, marketing, or
other applications. In particular, the related art has not used
geospatial references, location-based context, or a map-based
interface in ascertaining the meanings and relevance of this useful
data or assisting in drawing conclusions based on the geographical
aspects of this data.
BRIEF DESCRIPTION OF THE DRAWINGS
[0006] The embodiments will become apparent upon reading the
following detailed description and upon reference to the
accompanying drawings as follows:
[0007] FIG. 1 provides a block diagram of one or more
communications systems, according to one or more embodiments;
[0008] FIG. 2 provides a block diagram of a social media query
system, according to one or more embodiments;
[0009] FIG. 3 provides a method of selecting a geographic area,
according to one or more embodiments;
[0010] FIGS. 4-8 illustrate search regions of a map, according to
one or more embodiments;
[0011] FIG. 9 provides an exemplary method of supporting a custom
search region shape, according to one or more embodiments;
[0012] FIG. 10 illustrates edges of a custom search region shape
covered by shapes of search regions supported by a social media
data source, according to one or more embodiments;
[0013] FIG. 11 illustrates an interior of the custom search region
shape covered by shapes of search regions supported by a social
media data source;
[0014] FIG. 12 provides an exemplary block diagram of a computer
system, according to one or more embodiments;
[0015] FIG. 13 illustrates a mobile computer system, according to
one or more embodiments;
[0016] FIG. 14 provides an exemplary method of providing
location-based information to a computing device, according to one
or more embodiments;
[0017] FIG. 15 illustrates an exemplary diagram of computing
devices at locations which can be included in a region, according
to one or more embodiments;
[0018] FIG. 16 illustrates an exemplary method of providing
location-based information to a computing device, according to one
or more embodiments;
[0019] FIG. 17 provides an exemplary method of changing a position
of a search region, according to one or more embodiments;
[0020] FIG. 18 provides an exemplary method of changing a size of a
search region, according to one or more embodiments;
[0021] FIGS. 19-21 illustrates exemplary search regions at various
positions and/or of various sizes, according to one or more
embodiments; and
[0022] FIG. 22 provides exemplary search results via a map,
according to one or more embodiments.
[0023] While one or more embodiments may be susceptible to various
modifications and alternative forms, specific embodiments thereof
are shown by way of example in the drawings and will herein be
described in detail. It should be understood, however, that the
drawings and detailed description thereto are not intended to limit
the disclosure to the particular form disclosed, but on the
contrary, the disclosure is to cover all modifications, equivalents
and alternatives falling within the spirit and scope of this
disclosure.
DETAILED DESCRIPTION
[0024] In one or more embodiments, systems, methods, and/or
processes described herein can provide one or more interfaces that
can search and/or filter data of social networks (e.g., FACEBOOK
social network media data source, TWITTER social network media data
source, YOUTUBE social network media data source, WEIBO social
network media data source, a blog, a wiki, FOURSQUARE social
network media data source, INSTAGRAM social network media data
source, FLICKR social network media data source, VIMEO social
network media data source, YELP social network media data source,
etc.) with respect to one or more of a geospatial references,
location-based contexts, and/or map-based references. For example,
user input can be received that can move a searchable eye of
variable dimension about a map interface to denote a search region,
and data associated with one or more social networks can be
searched and/or filtered with respect to the denoted search region.
For instance, one or more social networks can be queried with one
or more search and/or filter parameters and one or more geographic
locations associated with the denoted search region, and one or
more results can be received from the one or more social networks,
where the results can be based on the one or more search and/or
filter parameters and one or more geographic locations associated
with the denoted search region.
[0025] In one or more embodiments, subject-related groups can be
defined and/or categorized by one or more of discussion and
affinity criteria, among others. For example, one or more of
time/subject phases of dominance by individuals, individual
participant relationship to one or more groups, and individuals to
their respective network of contacts, among others, can be
mapped.
[0026] In one or more embodiments, queries can be saved with their
geospatial references and their search and/or filter parameters.
For example, one or more saved queries can continue to run and/or
execute over one or more periods of time transpiring. In one or
more embodiments, queries can be saved with their geospatial
references and their search and/or filter parameters. For example,
one or more saved queries can continue to run and/or execute over
one or more periods of time transpiring. In one or more
embodiments, methods, processes, and/or systems can query a social
network with one or more search and/or filter parameters and one or
more geographic locations associated with a denoted search region.
For example, the social network can be queried via an application
programming interface (API). For instance, the social network can
provide the API. In one or more embodiments, the social network can
be queried via a network (e.g., a public network, a private
network, etc.), and one or more results of the query can be
received via the network. In one example, the API can include a
hypertext transfer protocol (HTTP) interface, and the social
network can be queried via the HTTP interface. In a second example,
the API can include a hypertext transfer protocol secure (HTTPS)
interface, and the social network can be queried via the HTTPS
interface. In another example, the API can be utilized with one or
more secure communication methods, processes, and/or systems. For
instance, the API can be utilized with and/or via one or more of a
virtual private network, a secure tunnel, a secure socket layer
(SSL), and a transport layer security (TLS) protocol, among
others.
[0027] In one or more embodiments, the one or more results of the
query of the social network can be provided to a user as the one or
more results become available from the social network. For example,
the one or more results can be provided to a user via a user
interface (e.g., a graphical user interface) as the one or more
results become available from the social network.
[0028] In one or more embodiments, the one or more results of a
query of the social network can be received over one or more
periods of time transpiring. For example, one or more queries can
be provided to a social media network data source (e.g., a data
source that can store social media network data), the one or more
queries can be saved (e.g., stored) with their geospatial
references and their search and/or filter parameters, an amount of
time can transpire, the one or more queries can be retrieved (e.g.,
retrieved from storage), the one or more queries can be provided
(again, in a repeated fashion, etc.) to the social media network
data source, and one or more search results can be received from
the social media network data source. For instance, running and/or
executing one or more saved queries can provide continual and/or
periodic reporting.
[0029] In one or more embodiments, one or more methods, processes,
and/or systems, described herein, can utilize one or more
event-driven one social network media data source methods,
processes, and/or systems. In one example, one or more events can
be generated (e.g., a data ready event, a timer event, a timeout
event, a periodic timer event, a processing system ready event, a
data send event, etc.), and one or more event handlers can perform
one or more methods and/or processes in response to the one or more
events. In one instance, the one or more event handlers can receive
and/or process data associated with the one or more events. In a
second instance, the one or more event handlers can provide data in
response to the one or more events. In another instance, the one or
more event handlers can generate one or more additional events in
response to the one or more events.
[0030] In one example, a data ready event can be generated when
data has been received from a social media network data source, and
a data ready event handler can process the data received from the
social media network data source. In a second example, a timeout
event can be generated, and a timeout event handler can retrieve
(e.g., retrieve from storage) one or more queries saved queries and
can provide the one or more queries saved queries to a social media
network data source. In one instance, a timer can be set with an
amount of time to transpire, and the timeout event can be generated
in response to the amount of time transpiring. In another instance,
a timer can be set with a time (e.g., 10:30, 16:45 on 11 Dec. 2012,
23:02 on 26 July, etc.), and the timeout event can be generated in
response to the time occurring.
[0031] In another example, a periodic timeout event can be
generated, and a periodic timeout event handler can retrieve (e.g.,
retrieve from storage) one or more queries saved queries and can
provide the one or more queries saved queries to a social media
network data source. In one instance, a periodic timer can be set
with an amount of time to transpire, and the periodic timeout event
can be generated in response to the amount of time transpiring. In
one or more embodiments, the periodic timeout event can be
generated, repeatedly, in response to each repetition of the amount
of time transpiring. For, one or more methods, processes, and/or
systems, described herein, can query a social media data source at
a time interval.
[0032] In one or more embodiments, one or more methods, processes,
and/or systems, described herein, can query the social network in a
continuous fashion. For example, the social network can be queried
until one or more results are received or until an amount of time
has transpired. For instance, one or more methods, processes,
and/or systems, described herein, can query the social network in a
background process and/or in an automated batch. For example, one
or more saved queries can continue to run and/or execute over one
or more periods of time transpiring. For instance, running and/or
executing one or more saved queries can provide continual and/or
periodic reporting.
[0033] In one or more embodiments, methods, processes, and/or
systems, described herein, can provide and/or implement one or more
user interfaces. For example, the one or more user interfaces can
provide one or more of social network query results, statistical
analyses of data from the social network query results, one or more
charts (e.g., a chart illustrating a number of results returned vs.
each time the query was performed), a review of results determined
and content that was saved, and/or some or all of the social
network query results layered over a map, among others. In one or
more embodiments, one or more of social network query results and
statistical analyses of data from the social network query results,
among others, can be utilized in training a neural network. For
example, trainable data sets can be utilized for pattern initial
guidance. For instance, one or more methods and/or processes can be
trained from data sets and can automatically acquire an artificial
intelligence to increase one or more of group, individual, and
intent mapping aptitude over a period of time.
[0034] Turning now to FIG. 1, one or more network systems are
illustrated, according to one or more embodiments. As shown, one or
more social media data sources 1610-1640 can be coupled to a
network 1010. In one or more embodiments, a social media data
source (which can also be referred to as a social network media
data source) can include a social media service and/or one or more
computer systems that are operated and/or controlled by the social
media service. For example, the social media service can provide
and/or include one or more web-based interfaces (e.g., one or more
websites and/or one or more network-based application programming
interfaces) and/or mobile-based technologies and/or services that
can facilitate and/or implement communications and/or interactive
dialogues among related individuals, organizations, and/or
communities, among others. For instance, the social media service
can provide and/or implement Internet-based applications (e.g.,
websites, network-based programming interfaces, etc.) that can
facilitate and/or provide a creation and/or an exchange of user
input (e.g., user-generated data, user-provided content, etc.). In
one example, social media data sources 1610-1640 can include
FACEBOOK social network media data source, TWITTER social network
media data source, YOUTUBE social network media data source, and
WEIBO social network media data source. In another example, the
social media data sources can include MYSPACE social network media
data source, FRIENDSTER social network media data source, a blog, a
wiki, FOURSQUARE social network media data source, INSTAGRAM social
network media data source, FLICKR social network media data source,
VIMEO social network media data source, and YELP social network
media data source, among others.
[0035] In one or more embodiments, one or more of social media data
sources 1610-1640 can provide application programming interfaces
that provide functionalities that can receive one or more queries
and can provide social media data corresponding to and/or
associated with the one or more queries. For example, social media
data source 1610 can receive a query associated with one or more of
a word, a phrase, a user profile, a portion of a user profile, a
regular expression, a natural language filter, a grammar (e.g., a
set of formation rules for strings in a language, a context-free
grammar, a regular grammar, a tree-adjoining grammar, an affix
grammar, an attribute grammar, an adaptive grammar, an ambiguous
grammar, a categorical grammar, etc.), a social group, an
organization, a user identification, and/or a location, among
others, and can provide social media data that is associated with
and/or corresponds to at least one of the word, the phrase, the
grammar, the regular expression, the user profile, the portion of
the user profile, the social group, the organization, the user
identification, and the location. For instance, social media data
source 1610 can receive a query associated with one or more
locations and provide the location-based social media data matching
that query via network 1010. In one or more embodiments, a user
profile can include one or more of a user name, a user
identification, a mobile telephone number, an email address, a
physical address, an occupation, a gender, a marital status, a past
purchase, an interest, a past transaction, a shoe size, an age, one
or more clothing sizes, a political affiliation, a monthly include,
a yearly income, an employment status, a credit history, a credit
rating, an eye color, a hair color, a music genre, and a
membership, among others.
[0036] As illustrated, computing devices (CDs) 1110-1112 and an
access point (AP) 1410 can be at and/or associated with a location
1210, and CDs 1110-1112 can be coupled to AP 1410 that can be
coupled to network 1010. In one or more embodiments, AP 1410 can
communicate with one or more computing devices in one or more of a
wired fashion and a wireless fashion. In one example, AP 1410 can
communicate with one or more of CDs 1110-1112 in a wired fashion.
For instance, AP 1410 can communicate with CDs 1110-1112 via one or
more of wired Ethernet, fiber optics, wired universal serial bus
(USB), digital subscriber loop (DSL), and coaxial cable (e.g.,
cable TV), among others.
[0037] In another example, AP 1410 can communicate with one or more
of CDs 1110-1112 in a wireless fashion. For instance, AP 1410 can
communicate with CDs 1110-1112 via one or more of wireless Ethernet
(e.g., WiFi), Institute of Electrical and Electronics Engineers
(IEEE) 802.11, IEEE 802.16, WiMAX, Bluetooth, IEEE 802.15, ZigBee,
Z-Wave, ultra wideband, IEEE 802.15.4, and wireless USB, among
others. In one or more embodiments, an AP can include a transceiver
to communicate with computing devices utilizing one or more
wireless methods, processes, wireless spectrums (e.g., frequency
ranges), protocols, and/or systems. For example, an AP can
communicate with computing devices utilizing ISM (industrial,
scientific and medical) bands. For instance, an ISM band can
include a frequency range of 6.765-6.795 Mhz, 433.05-434.79 Mhz,
902-928 Mhz, 2.4-2.5 Ghz, 5.725-5.875 Ghz, or 24.0-24.25 Ghz, among
others.
[0038] As shown, CDs 1113 and 1114 can be at and/or associated with
a location 1215, CDs 1113 and 1114 can be coupled to an AP 1420
that can be coupled to network 1010. In one or more embodiments, AP
1420 can include one or more structures and/or functionalities
described with reference to AP 1410. For example, AP 1420 can
communicate with one or more computing devices in one or more of a
wired fashion and a wireless fashion. As illustrated, AP 1420 may
not be at and/or associated with a location 1215, according to one
or more embodiments.
[0039] As shown, CDs 1115 and 1116 can be at and/or associated with
a location 1220, and CDs 1115 and 1116 can be coupled to a wireless
telephone network node (WTNN) 1510 that can be coupled to network
1010. In one example, WTNN 1510 can include one or more of a base
station subsystem (BSS), a base station controller (BSC), and a
base transceiver station (BTS) that can be coupled to network 1010.
In a second example, WTNN 1510 can include one or more of a radio
network controller (RNC) and a Node B. For instance, a Node B can
include and/or denote a BTS of a universal mobile
telecommunications system (UMTS) and can include one or more
transmitters, one or more receivers, one or more transceivers,
and/or one or more antennas. In another example, a WTNN can include
a satellite that can orbit a planet (e.g., Earth) and can be
wirelessly coupled to network 1010. For instance, the WTNN can
orbit the planet in a low planetary orbit (e.g., a low Earth
orbit), a medium planetary orbit (e.g., a medium Earth orbit), a
geostationary orbit, a high planetary orbit (e.g., a high Earth
orbit), a semi-synchronous orbit, or a geosynchronous orbit, among
others.
[0040] In one or more embodiments, a WTNN can communicate with one
or more computing devices via one or more protocols such as one or
more of wideband code division multiple access (WCDMA), time
division synchronous code division multiple access (TD-SCDMA), code
division multiple access (CDMA), time division multiple access
(TDMA), GSM (global system for mobile communications), long term
evolution (LTE), general packet radio service (GPRS), enhanced GPRS
(EGPRS), frequency division multiple access (FDMA), and enhanced
data rates for GSM evolution (EDGE), among others. In one or more
embodiments, a WTNN can include one or more transmitters, one or
more receivers, one or more transceivers, one or more antennas,
and/or one or more cryptography devices that can be used to
wirelessly communicate with one or more computing devices. In one
example, the one or more antennas of the WTNN can be mounted on a
mast, on a tower (e.g., a cellular telephone communications tower),
on a side of a structure (e.g., a building, a parking garage, a
lamp post, etc.), and/or on a roof of a building, among others.
[0041] As illustrated, CD 1117-1119 and a WTNN 1520 can be at
and/or associated with a location 1225, and CDs 1117-1119 can be
coupled to WTNN 1520 that can be coupled to network 1010. In one or
more embodiments, WTNN 1520 can include one or more structures
and/or functionalities described with reference to WTNN 1510. As
shown, CDs 1120-1122 can be at and/or associated with respective
locations 1230-1240, and CDs 1120-1122 can be coupled to a WTNN
1530 that can be coupled to network 1010. In one or more
embodiments, WTNN 1530 can include one or more structures and/or
functionalities described with reference to WTNN 1510. As shown,
WTNN 1530 may not be at and/or associated with one or more of
locations 1230-1240, according to one or more embodiments.
[0042] As illustrated, CD 1123-1125 can be at and/or associated
with a location 1245, and CDs 1123-1125 can be coupled to WTNN 1540
that can be coupled to network 1010. In one or more embodiments,
WTNN 1540 can include one or more structures and/or functionalities
described with reference to WTNN 1510. As shown, WTNN 1540 may not
be at and/or associated with location 1245, according to one or
more embodiments. As illustrated, a computing device (CD) 1126 can
be at and/or associated with a location 1250, and CD 1126 can be
coupled to a WTNN 1550 that can be coupled to network 1010. In one
or more embodiments, WTNN 1550 can include one or more structures
and/or functionalities described with reference to WTNN 1510. As
shown, WTNN 1550 may not be at and/or associated with location
1250, according to one or more embodiments. As illustrated, one or
more CDs 1130-1132 can be coupled to network 1010.
[0043] In one or more embodiments, network 1010 and/or network 1014
can include a wired network, a wireless network or a combination of
wired and wireless networks. Network 1010 and/or network 1014 can
include and/or be coupled to various types of communications
networks, such as a public switched telephone network (PSTN), an
Internet, a wide area network (WAN) (e.g., a private WAN, a
corporate WAN, a public WAN, etc.), a local area network (LAN),
etc. In one or more embodiments, NMD 1020 can be coupled to a PSTN,
e.g., Ethernet cable and DSL; a cable (television) based network; a
satellite-based system; and/or a fiber based network; among others.
In one or more embodiments, network 1010 can include one or more
wireless networks, e.g., based on IEEE 802.11 and/or IEEE
802.16.
[0044] In one or more embodiments, network 1010 can be or include a
communications network. In one example, network 1010 can be or
include multiple networks and/or can be coupled to one or more
other networks. For instance, network 1010 can be, include, or form
part of a WAN. For instance, the WAN can include one or more of a
private WAN, a corporate WAN, and a public WAN (e.g., an Internet),
among others. In another example, network 1010 can be or include a
telephone network. In one instance, network 1010 can be or include
a PSTN. In a second instance, network 1010 can be or include a
wired telephone network. In another instance, network 1010 can be
or include a wireless telephone network (e.g., a cellular telephone
network, a satellite telephone network, etc.).
[0045] In one or more embodiments, network 1010 can include and/or
be coupled to various types of communications networks. For
example, network 1010 can include and/or be coupled to a PSTN, an
Internet, a WAN (e.g., a private WAN, a corporate WAN, a public
WAN, etc.), and/or a LAN, among others. In one or more embodiments,
network 1010 can include a wired network, a wireless network or a
combination of wired and wireless networks. In one example, network
1010 can include and/or be coupled to coupled to a wired PSTN, a
DSL network, a cable (television) based network, a satellite-based
system and/or network, and/or a fiber based network; among others.
In another example, network 1010 can include and/or be coupled to
one or more wireless networks, e.g., based on IEEE 802.11, based on
IEEE 802.16, based on a wireless PSTN, based on a wireless
telecommunications network, etc.
[0046] In one or more embodiments, a network system can be or
include a communication system. For example, a network system can
be operated by a network provider. For instance, a first network
system can be operated by a first network provider (e.g., AT&T,
T-MOBILE, IRIDIUM COMMUNICATIONS, VERIZON WIRELESS, GLOBALSTAR,
etc.), and a second network system can be operated by a second
network provider (e.g., TIME-WARNER CABLE, WAYPORT, BOINGO, QWEST,
CLEAR, GRANDE COMMUNIUCATIONS, COX, EARTHLINK, etc.).
[0047] In one or more embodiments, one or more of CDs 1110-1126 can
be or include any of various types of devices, including a computer
system, such as a desktop computer system, a portable computer, a
laptop computer system, a personal digital assistant (PDA), a smart
phone, a wireless telephone (e.g., a cellular telephone, a
satellite telephone, etc.), a digital music player, a tablet
computing device, a wearable computing device, a communications
device, or other wired or wireless device. In one example, a first
user can utilize CD 1110 at location 1210. For instance, CD 1110
can be or include a laptop computing device. In a second example, a
second user can utilize CD 1111 at location 1210. For instance, CD
1111 can be or include a tablet computing device. In a third
example, a third user can utilize CD 1113 at location 1215. For
instance, CD 1113 can be or include a personal digital assistant.
In another example, a fourth user can utilize CD 1115 at location
1220. For instance, CD 1115 can be or include a wireless
telephone.
[0048] In one or more embodiments, respective users of CDs 1110,
1111, 1113, and 1115, at and/or associated with respective
locations, can provide data to one or more social media services,
where the user-provided data can be associated with and/or
correspond to the respective locations. In one example, the first
user can utilize CD 1110 to update a status (e.g., a personal
status) on a first social media service (e.g., associated with
social media data source 1610) such that the updated status
corresponds to a location of CD 1110. For instance, the updated
status and information associated with location 1210 can be stored
by first social media service such that the updated status is
associated with location data such that the updated status
corresponds to location 1210. In a second example, the second user
can utilize CD 1111 to upload a picture and/or a motion picture
(e.g., a video) to a second social media service (e.g., associated
with social media data source 1620). For instance, the picture
and/or the motion picture and information associated with location
1210 can be stored by second social media service such that the
picture and/or the motion picture corresponds to location 1210. In
a third example, the third user can utilize CD 1113 to rate and/or
review a venue (e.g., a restaurant, a coffee shop, a movie theatre,
a car wash, etc.) on a third social media service (e.g., associated
with social media data source 1630). For instance, the rating
and/or the review and information associated with location 1215 can
be stored by third social media service such that the rating and/or
the review correspond to location 1215.
[0049] In another example, the fourth user can utilize CD 1115 to
update an action and/or activity on a fourth social media service
(e.g., associated with social media data source 1640). In one
instance, the action and/or the activity and information associated
with location 1220 can be stored by the fourth social media service
such that the action and/or the activity corresponds to location
1220. In another instance, the action and/or the activity can be
related to the fourth user (e.g., entering a football stadium) or
can be related to actions and/or activities of others in the
vicinity of location 1220 (e.g., gunshot(s) fired, car crash, a
parade, etc.). In yet another instance, the action and/or the
activity can be related to the environment in the vicinity of
location 1220 (e.g., building fire, brush fire, gas leak,
explosion, lightening storm, earthquake, etc.).
[0050] In one or more embodiments, a location (e.g., a location of
locations 1210-1250), associated with and/or corresponding to a
computing device, can be determined. For example, a location,
described herein, can be or include a geographical location. For
instance, a location (e.g., a location of locations 1210-1250) can
include one or more of a street number, a street, a zip code, a
city, a state, a country, a unit identifier (e.g., a suite
identifier, a condominium identifier, a hospital room identifier,
an apartment identifier, a gate identifier of an airport, an
airport identifier, etc.), a cell identification (cell ID or CID
associated with a cellular telephone network), latitude
information, longitude information, and altitude information, among
others. In one or more embodiments, a location can be, include, or
be associated with one or more of a voting district, a
congressional district, a school district, a school, a campus, a
dormitory, an oil pipeline, a sports complex, a police precinct, a
piece of real estate, a neighborhood, a borrow, a city, a town, a
commercial office building, a floor of a building, a factory, a
refinery, a storage facility, a power station, a power substation,
and a military installation, among others.
[0051] In one or more embodiments, a location (e.g., a location of
locations 1210-1250) can be determined based on a location of an AP
communicating with a computing device. For example, one or more of
CDs 1110-1112 can communicate with AP 1410, which is associated
with and/or corresponding to location 1210, and can be determined
to be at and/or associated with location 1210. In one or more
embodiments, a location (e.g., a location of locations 1210-1250)
can be determined based on a location of a WTNN communicating with
a computing device. For example, one or more of CDs 1117-1119 can
communicate with WTNN 1520, which is associated with and/or
corresponding to location 1225, and can be determined to be at
and/or associated with location 1225.
[0052] In one or more embodiments, a location (e.g., a location of
locations 1210-1250) can be determined based on locations of
multiple wireless telephone network nodes (WTNNs) communicating or
being capable of communicating with a computing device. For
example, CD 1122 can communicate or can be capable of communicating
with two or more of WTNNs 1530-1550, and a location of CD 1122
(e.g., location 1240) can be determined based on two or more of
WTNNs 1530-1550 and their locations. In one instance, a location of
a computing device can be determined via multilateration which is a
navigation technique that utilizes measurements of differences in
distances to two or more WTNNs, at previously determined or known
locations, that broadcast one or more signals at previously
determined or known times. In a second instance, a location of a
computing device can be determined via trilateration which is a
navigation technique that utilizes distances or absolute
measurements of time-of-flight from three or more WTNNs. In
another, a location of a computing device can be determined via
triangulation which is a navigation technique that utilizes
measurements of absolute angles. In one or more embodiments, a
computing device and/or a network operator can utilized multiple
WTNNs in determining a location of the computing device.
[0053] In one or more embodiments, a location of a computing device
is determined utilizing data from a positioning device and/or
mechanism. For example, the computing device can include a global
positioning system (GPS) device and/or mechanism, and the computing
device can communicate its location information, from the GPS
device and/or mechanism, to a social media data source. In one or
more embodiments, a location of a computing device can be
determined utilizing a network address utilized by the computing
device. For example, the network address can include an Internet
protocol (IP) address or other address utilized by the computing
device and/or an IP address or other address of a gateway
associated with the computing device. In one instance, a database
can include multiple IP addresses that correspond to multiple
locations, and the database can be queried with an IP address and
can provide a location based on the IP address. In another
instance, the network address can be or include a network address
of a communication system.
[0054] In one or more embodiments, a computing device that is
communicating with a social network can provide a location of the
computing device to the social network. In one example, the
computing device can provide latitude and longitude information,
from a GPS device and/or mechanism, to the social network. In
another example, the computing device can provide one or more of
street number information, street information, zip code
information, city information, state information, and country
information, among others, to the social network.
[0055] In one or more embodiments, user-provided data (e.g.,
user-provided content, user input, user-provided pictures,
user-provided motion pictures, user-provided videos, communications
and/or interactive dialogues among related individuals,
organizations, and/or communities, user status updates, posts to
one or more social network services, one or more blog entries,
etc.) can be correlated and/or associated with a location of a
computing device, utilized by a user, that provides the
user-provided data to a social media service via a network. In one
example, first user input can be correlated and/or associated with
a first location of a first computing device, utilized by a first
user, that provides the first user input to a first social media
service via network 1010. For instance, the first user input can be
correlated and/or associated with location 1210 of CD 1110,
utilized by the first user, that provides the first user input to a
first social media service via network 1010.
[0056] In a second example, second user input can be correlated
and/or associated with a second location of a second computing
device, utilized by a second user, that provides the second user
input to a second social media service via network 1010. For
instance, the second user input can be correlated and/or associated
with location 1215 of CD 1113, utilized by the second user, that
provides the second user input to a second social media service via
network 1010. In a third example, third user input can be
correlated and/or associated with a third location of a third
computing device, utilized by a third user, that provides the third
user input to a third social media service via network 1010. For
instance, the third user input can be correlated and/or associated
with location 1245 of CD 1123, utilized by the third user, that
provides the third user input to a third social media service via
network 1010.
[0057] In a fourth example, fourth user input can be correlated
and/or associated with the first location of a fourth computing
device, utilized by a fourth user, that provides the fourth user
input to a fourth social media service via network 1010. For
instance, the fourth user input can be correlated and/or associated
with location 1210 of CD 1111, utilized by the fourth user, that
provides the fourth user input to a fourth social media service via
network 1010. In a fifth example, fifth user input can be
correlated and/or associated with a fifth location of a fifth
computing device, utilized by a fifth user, that provides the fifth
user input to the first social media service via network 1010. For
instance, the fifth user input can be correlated and/or associated
with location 1240 of CD 1122, utilized by the fifth user, that
provides the fifth user input to a fifth social media service via
network 1010. In a sixth example, sixth user input can be
correlated and/or associated with the second location of a sixth
computing device, utilized by a sixth user, that provides the sixth
user input to the second social media service via network 1010. For
instance, the sixth user input can be correlated and/or associated
with location 1215 of CD 1114, utilized by the sixth user, that
provides the sixth user input to a sixth social media service via
network 1010.
[0058] In one or more embodiments, user input correlated and/or
associated with a location of a computing device can be provided to
a social media service via one or more of a web interface, a post
(e.g., a HTTP POST), a get (e.g., a HTTP GET), a smart phone
application, a tablet application, a digital music player
application, a personal digital assistant application, an
application for a personal computer (e.g., a desktop computer, a
notebook computer, etc.), and an application for a virtual machine,
among others.
[0059] Turning now to FIG. 2, a social media query system is
illustrated, according to one or more embodiments. As shown, one or
more of CDs 1130-1132 and/or one or more of social media data
sources 1610-1640 can be coupled to network 1010. In one or more
embodiments, one or more of CDs 1130-1132 can be or include one or
more clients of the social media query system. For example, one or
more of CDs 1130-1132 can provide one or more queries to one or
more API servers 2020-2024 via network 1010 and via a load balancer
2010. For instance, load balancer 2010 can distribute queries
between or among two or more API servers in accordance with one or
more load balancing methods and/or processes.
[0060] As illustrated, API servers 2020-2024 can be coupled to
network 1010. In one or more embodiments, one or more API servers
2020-2024 can query one or more social media data sources
1610-1640. For example, one or more API servers 2020-2024 can
receive one or more live queries from one or more of CDs 1130-1132
and can query one or more social media data sources 1610-1640, via
network 1010, to provide one or more responses to the live queries.
For instance, a live query can include a query for data that has
not been archived.
[0061] In one or more embodiments, one or more API servers
2020-2024 can utilize one or more network monitors and/or packet
analyzers (not shown) to monitor network traffic on network 1010
and capture network packets en route to one or more social media
data sources 1610-1640 including information related to a query.
For example, one or more API servers 2020-2024 can receive one or
more queries from one or more of CDs 1130-1132 and intercept
network packets destined for one or more social media data sources
1610-1640 via network 1010 to provide one or more responses to the
queries based on content of the captured network packets.
[0062] In one or more embodiments, data provided to the social
media services can be associated with and/or correspond to
respective locations of computing devices that provided the data,
and API servers 2020-2024 can query the one or more social media
services to determine information associated with and/or
corresponding to the data provided to the social media services and
respective locations of the computing devices that provided the
data. In one example, API server 2020 can provide, to social media
data source 1610, a first query associated with one or more of a
first word, first words, a first phrase, a first user profile, a
portion of the first user profile, a first grammar, a first regular
expression, a first social group, a first organization, a first
user identification, and a first location, among others, and
receive social media data that is associated with and/or
corresponds to at least one of the first word, the first words, the
first phrase, the first user profile, the portion of the first user
profile, the first grammar, the first regular expression, the first
social group, the first organization, the first user
identification, and the first location. For instance, API server
2020 can provide the first query to social media data source 1610
via network 1010 and can receive the first social media data from
social media data source 1610 via network 1010.
[0063] In a second example, API server 2022 can provide, to social
media data source 1620, a second query associated with one or more
of a second word, second words, a second phrase, a second user
profile, a portion of the second user profile, a second grammar, a
second regular expression, a second social group, a second
organization, a second user identification, and a second location,
among others, and receive second social media data that is
associated with and/or corresponds to at least one of the second
word, the second words, the second phrase, the second user profile,
the portion of the second user profile, the second grammar, the
second regular expression, the second social group, the second
organization, the second user identification, and the second
location. For instance, API server 2022 can provide the second
query to social media data source 1620 via network 1010 and can
receive the second social media data from social media data source
1620 via network 1010.
[0064] In another example, API server 2024 can provide, to social
media data source 1630, a third query associated with one or more
of a third word, third words, a third phrase, a third user profile,
a third portion of the third user profile, a third grammar, a third
regular expression, a third social group, a third organization, a
third user identification, and a third location, among others, and
receive third social media data that is associated with and/or
corresponds to at least one of the third word, the third words, the
third phrase, the third user profile, the portion of the third user
profile, the third grammar, the third regular expression, the third
social group, the third organization, the third user
identification, and the third location. For instance, API server
2024 can provide the third query to social media data source 1630
via network 1010 and can receive the third social media data from
social media data source 1630 via network 1010.
[0065] In one or more embodiments, social media data from a social
media data source can be stored in a database (DB). For example,
one or more of the first social media data from social media data
source 1610, the second social media data from social media data
source 1620, and the third social media data from social media data
source 1630 can be stored in a transactional DB 2030. In one or
more embodiments, transactional DB 2030 can provide social media
data from a social media data source to one or more of a read only
DB 2032 and an archive DB 2034. In one example, read only DB 2032
can be utilized for queries associated with and/or corresponding to
data that has been received from a social media data source. For
instance, read only DB 2032 can be utilized to off-load queries
from transaction DB 2030. In a second example, archive DB 2034 can
be utilized for long-term storage of queries associated with and/or
corresponding to data that has been received from a social media
data source. In another example, archive DB 2034 can be utilized
for queries over a period of time.
[0066] In one or more embodiments, one or more of transactional DB
2030, read only DB 2032, and archive DB 2034 can include and/or be
implemented via multiple computing devices and/or multiple
databases. In one example, transactional DB 2030 can include at
least one computer system for each API server coupled to
transactional DB 2030. In another example, one or more of read only
DB 2032 and archive DB 2034 can include multiple computing devices
to process data in a parallel fashion. For instance, a DB can
divide a data processing problem (e.g., a query), distribute
portions of the data and/or portions the problem to multiple
computing devices, and combine results from the multiple computing
devices that were provided the portions of the data and/or the
portions the problem.
[0067] In one or more embodiments, a database can include a
relational database management system (RDBMS) that can be accessed
by one or more computer systems. For example, the RDBMS can include
an Oracle database, a Microsoft SQL Server database, a MySQL
database, a PostgreSQL database, etc. In one or more embodiments, a
database can include an object oriented database. For example, the
object oriented database can include an Informix database, an
Objectivity/DB database, a FastObjects database, a JADE database, a
VelocityDB database, an ObjectDB database, etc. In one or more
embodiments, a database can include a combination of a RDBMS and an
object oriented database system.
[0068] As illustrated, transactional DB 2030 can be coupled to one
or more of API servers 2020-2024, read only DB 2032, archive DB
2034, and application servers 2040-250. In one or more embodiments,
one or more of applications servers 2040-2050 can process and/or
issue one or more queries to one or more social media data sources.
For example, applications servers 2040-2050 can process and/or
issue one or more queries to social media data sources over a
period of time. In one or more embodiments, one or more of
applications servers 2040-2050 can receive, process, analyze and/or
present one or more results of one or more queries to one or more
social media data sources.
[0069] As shown, a storage 2410 can be coupled to network 2410. In
one or more embodiments, one or more of API servers 2020-2024,
databases 2030-2034, and application servers 2040-2050 can utilize
storage 2420 via network 1010. As illustrated, storages 2420, 2430,
and 2450 can be coupled to one or more transaction DB 2030, archive
DB 2430, and read only DB 2032, respectively. In one or more
embodiments, one or more of storages 2420, 2430, and 2450 can be
coupled to a respective database via one or more of SATA (serial AT
attachment), SAS (serial attached SCSI), and FCoE (fiber channel
over Ethernet). For example, storage 2420 can be coupled to
database 2030 via Ethernet. For instance, FCoE can map storage 2420
to database 2030 independent of an Ethernet forwarding scheme. In
one or more embodiments, one or more of storages 2410-2450 can be,
be included in, or include at least one of a network attached
storage (NAS) and a storage area network (SAN), among others.
[0070] As illustrated, a storage 2440 can be coupled to one or more
of applications servers 2044 and 2046. In one or more embodiments,
one or more of storage 2440 can be coupled to one or more of
application servers 2440 via one or more of SATA, SAS, and FCoE.
For example, storage 2420 can be coupled to database 2030 via
Ethernet.
[0071] In one or more embodiments, one or more of storages
2410-2450 can include one or more storage devices that can be
utilized to store database data (e.g., tables, database schemes,
etc.) and/or one or more queries of one or more social media data
sources. For example, one or more of storages 2410-2450 can store
one or more queries generated via one or more methods, processes
and/or systems described herein. In one or more embodiments, one or
more stored queries can be retrieved from one or more of storages
2410-2450.
[0072] Turning now to FIG. 3, a method of selecting a geographic
area is illustrated, according to one or more embodiments. At 3010,
input indicating a location can be received. For example, an API
server of API servers 2020-2024 can receive input indicating the
location from a client (e.g., one of CDs 1130-1132) via network
1010. For instance, the location can include one or more of a
coordinate (e.g., latitude, longitude, etc.), a city, a state, a
zip code, and a country, among others. In one or more embodiments,
the input can include at least one of user input and machine input
(e.g., from a database system), among others. At 3020, a map can be
provided. For example, an API server of API servers 2020-2024 can
provide a map to the client. For instance, the map can include the
location received at 3010.
[0073] In one or more embodiments, the map can include the
location, received at 3010, and one or more surrounding regions.
For example, a map 4010 can include the location of Austin, Tex.
and one or more surrounding regions as illustrated in FIG. 4. For
instance, the client can display map 4010, via a display device
and/or a graphical user interface (GUI), to a user. At 3030, input
indicating a search region can be received. For example, an API
server of API servers 2020-2024 can receive input indicating the
search region from the client via network 1010. For instance, the
user can select a search region 4110 of map 4010, and input
indicating search region 4110 can be received from the client via
network 1010. In one or more embodiments, the input indicating the
search region received at 3030 can be associated with the location
received via the input at 3010. As illustrated, search region 4110
can include location 1210.
[0074] At 3040, it can be determined if there is another search
region. If there is another search region, the method can proceed
to 3030. In one or more embodiments, a user of the client can
utilized a GUI in selecting one or more search regions. In one
instance, the client can receive user input via a pointing device
(e.g., a mouse, a track pad, a track ball, a stylus, a finger,
etc.), and data associated with and/or corresponding to the one or
more selected search regions. In another instance, selected one or
more search regions can be displayed, to a user, via a display
device and/or a GUI.
[0075] In one example, another search region can be selected. For
instance, a search region 5110, as shown in FIG. 5, can be selected
in addition to search region 4110, and input indicating search
region 5110 can be received from the client via network 1010. As
illustrated, search region 5110 can include location 1215. In a
second example, another search region can be selected. For
instance, a search region 6110, as shown in FIG. 6, can be selected
in addition to search region 4110, and input indicating search
region 6110 can be received from the client via network 1010. As
illustrated in FIG. 6, one search region can overlap with another
search region. In another example, multiple search regions can be
selected. For instance, search regions 4110, 5110, and 6110 can be
selected as shown in FIG. 7, and input indicating search regions
4110, 5110, and 6110 can be received from the client via network
1010.
[0076] In one or more embodiments, a search region can include one
or more shapes and/or boundaries. For example, a search region can
include a polygon. In one instance, a search region can include a
triangular search region, such as a search region 8110 of FIG. 8.
As illustrated search region 8110 can include location 1250. In a
second instance, a search region can include a rectangular search
region, such as a search region 8120 of FIG. 8. In a third
instance, a search region can include a square search region, such
as a search region 8130 of FIG. 8. In a fourth instance, a search
region can include custom search region (e.g., a n-sided polygon),
such as a search region 8140 of FIG. 8. As illustrated, search
region 8140 can include locations 1225, 1230, and 1240.
[0077] In another instance, a search region can include a custom
search region (e.g., one or more straight edges with one or more
arcs, elliptical arcs, parabolic arcs, splines, etc.), such as a
search region 8150 of FIG. 8. As illustrated search region 8150 can
include location 1245. In one or more embodiments, a custom search
region can be utilized in implementing a search region of one or
more of a voting district, a congressional district, a school
district, a school, a campus, a dormitory, a police precinct, a
piece of real estate, a neighborhood, a borrow, a city, a town, a
commercial office building, a factory, a refinery, a storage
facility, a power station, a power substation, and a military
installation, among others.
[0078] In one or more embodiments, a custom search region can be
described, transmitted, and/or stored via a markup language and/or
a data description language. In one example, a custom search region
can be described, transmitted, and/or stored via an extensible
markup language (XML). In a second example, a custom search region
can be described, transmitted, and/or stored via a keyhole markup
language (KML). In another example, a custom search region can be
described, transmitted, and/or stored via a language that can
represent data structures (e.g., objects, arrays, associative
arrays, etc.). For instance, the language that can represent data
structures can be or include JSON (JavaScript Object Notation). In
one or more embodiments, JSON can be utilized by any language that
can support and/or utilize a JSON lexer and/or parser.
[0079] If there is not another search region, the method can
proceed to 3050, as shown in FIG. 3, where input indicating a data
search can be received. For example, the input indicating a data
search can include one or more of a word, words, a phrase, a user
profile, a portion of a user profile, a regular expression, a
natural language filter, a grammar, a social group, an
organization, and a user identification, among others. For
instance, the input indicating a data search can be received from
the client via network 1010. In one or more embodiments, the input
indicating a data search can be or include search data. For
example, the search data can include one or more of a word, words,
a phrase, a user profile, a portion of a user profile, a regular
expression, a natural language filter, a grammar, a social group,
an organization, and a user identification, among others.
[0080] At 3055, it can be determined if there is additional search
data. If there is additional search data, the method can proceed to
3050. If there is not additional search data, the method can
proceed to 3060, where one or more queries can be generated. In one
example, generating the one or more queries can include multiple
supported geographical search region shapes. For instance, a search
region can include one or more shapes that are not supported by one
or more social media data sources, and the multiple supported
geographical search region shapes can include the one or more
shapes that are not supported by one or more social network media
data sources. In a second example, the one or more queries can be
based on one or more of the search region, the user input
indicating a data search (e.g., search data), and one or more
social network media data sources that store user-provided data
(e.g., user input, user-provided content, social network
user-provided data, social network user-provided content) from
multiple users provided via multiple user computing devices at
multiple locations (e.g., two or more of CDs 1110-1126 at
respective locations 1210-1250), among others.
[0081] In another example, generating the one or more queries can
include configuring and/or implementing the one or more queries
with one or more a word, multiple words, a phrase, a user profile,
a portion of a user profile, a regular expression, a natural
language filter, a grammar, a social group, an organization, and a
user identification, among others. In one instance, the one or more
of the word, the multiple words, the phrase, the user profile, the
portion of the user profile, the regular expression, the natural
language filter, the grammar, the social group, the organization,
and the user identification, among others, can match at least a
portion of the user-provided data (e.g., user input, user-provided
content, social network user-provided data, social network
user-provided content) from multiple users provided via multiple
user computing devices at multiple locations and/or can produce one
or more search results. In another instance, one or more search
results can be produced, generated, and/or precipitated via a
satisfaction and/or a statistical satisfaction of one or more
criteria that can include and/or can be based on the one or more of
the word, the multiple words, the phrase, the user profile, the
portion of the user profile, the regular expression, the natural
language filter, the grammar, the social group, the organization,
and the user identification, among others.
[0082] At 3070, the one or more queries can be provided to one or
more social media data source. In one example, one or more of API
servers 2020-2024 can provide the one or more queries to one or
more social media data source, via network 1010. For instance, one
or more of API servers 2020-2024 can query one or more social media
data sources 1610-1640 based on the search data and the one or more
search regions. In another example, one or more of application
servers 2040-2050 can provide the one or more queries to one or
more social media data sources, via network 1010. For instance, one
or more of application servers 2040-2050 can query one or more
social media data sources 1610-1640 based on the search data and
the one or more search regions.
[0083] At 3080, one or more results of the query of the one or more
social media data sources can be received. In one example, one or
more of API servers 2020-2024 can receive one or more results of
the query of one or more social media data sources 1610-1640 via
network 1010. In another example, one or more of application
servers 2040-2050 can receive one or more results of the query of
one or more social media data sources 1610-1640 via network 1010.
At 3090, the one or more results of the query of the one or more
social media data sources can be stored. For example, a database
can store the results of the query of the social media data
sources. For instance, one or more of databases 2030-2034 can store
the results of the query of social media data sources
1610-1640.
[0084] At 3100, the one or more results of the query of the one or
more social media data sources can be provided to the client. In
one example, one or more of API servers 2020-2024 can provide the
results of the query of social media data sources 1610-1640 to the
client via network 1010. In another example, one or more of
application servers 2040-050 can provide the results of the query
of social media data sources 1610-1640 to the client via network
1010.
[0085] In one or more embodiments, one or more locations (e.g., one
or more locations where user data was provided by one or more users
via one or more of their computing devices) can correspond to the
one or more results of the one or more queries. In one example,
location 1210 (as shown in FIG. 4), e.g., a location where user
data was provided by one or more users via one or more of their
computing devices, can correspond to the one or more results of the
one or more queries, and the client can display location 1210 to a
user, via a display device and/or a GUI. In a second example,
locations 1210 and 1215 (as shown in FIG. 5), e.g., one or more
locations where user data was provided by one or more users via one
or more of their computing devices, can correspond to the one or
more results of the one or more queries, and the client can display
locations 1210 and 1215 to a user, via a display device and/or a
GUI.
[0086] In a third example, location 1210 (as shown in FIG. 6) e.g.,
a location where user data was provided by one or more users via
one or more of their computing devices, can correspond to the one
or more results of the one or more queries, and the client can
display location 1210 to a user, via a display device and/or a GUI.
For instance, the one or more queries can include multiple search
regions 4110 and 6110. In a fourth example, one or more of
locations 1210 and 1215 (as shown in FIG. 7), e.g., one or more
locations where user data was provided by one or more users via one
or more of their computing devices, can correspond to the one or
more results of the one or more queries, and the client can display
to a user, via a display device and/or a GUI. For instance, the one
or more queries can include one or more of search regions 4110,
5110, and 6110.
[0087] In a fifth example, one or more of locations 1225, 1230,
1240, 1245, and 1250 (as shown in FIG. 8), e.g., one or more
locations where user data was provided by one or more users via one
or more of their computing devices, can correspond to the one or
more results of the one or more queries, and the client can display
to a user, via a display device and/or a GUI. For instance, the one
or more queries can include one or more of search regions 8110,
8120, 8130, and 8140. In another example, one or more of locations
22210-22232 (as shown in FIG. 22), e.g., one or more locations
where user data was provided by one or more users via one or more
of their computing devices, can correspond to the one or more
results of the one or more queries. For instance, the client can
display to a user, via a display device and/or a GUI, one or more
locations 22210-22232 via a search region 22110 and/or via a map
22010.
[0088] In one or more embodiments, the one or more results of the
query of the one or more social media data sources can be analyzed
by the one or more of API servers 2020-2024 and/or one or more of
application servers 2040-050 to provide analysis and/or conclusions
about the results of the query of social media data sources
1610-1640. For example, the one or more results of the query of the
one or more social media data sources can be filtered by one or
more of API servers 2020-2024 and/or one or more of application
servers 2040-050 to provide filtered results and/or analysis of the
one or more queries of social media data sources 1610-1640 that
include one or more of an identified word, phrase, user profile,
portion of a user profile, regular expression, grammar, social
group, organization, user identification, and a location, among
others.
[0089] In one or more embodiments, a search region can include a
shape that is not supported by one or more social media data
sources. For example, one or more social media data sources may
support one or more shapes for defining a search region but not
other shapes. For instance, one or more social media data sources
may support a circular search region (e.g., a location and a radius
from the location). In this instance, search regions 4110-6110 can
be supported by one or more social media data sources, while search
regions 8110-8150 may not be supported. In one or more embodiments,
a query of one or more social network media data sources for a
search region that is not supported by one or more social media
data sources can be performed. For example, one or more queries can
be generated utilizing multiple of the one or more shapes defining
search regions that can be supported by the one or more social
media data sources in order to generate the one or more queries of
a search region including a shape that is not supported by one or
more social media data sources. For instance, multiple shapes of
search regions that can be supported by the one or more social
media data sources can be utilized to implement and/or support a
search region shape that is not supported by the one or more social
media data sources.
[0090] Turning now to FIG. 9, an exemplary method of supporting a
search region shape that is not supported by one or more social
media data sources is illustrated, according to one or more
embodiments. At 9010, edges of a custom search region shape can be
covered by shapes of search regions that are supported by a social
media data source. For example, as illustrated in FIG. 10, search
region 8140 is a custom search region shape, and edges of search
region 8140 can be covered by circular search regions 10100-10154,
which are supported search region shapes, in some examples.
[0091] At 9020, an interior of the custom search region shape can
be covered by shapes of search regions that are supported by a
social media data source. For example, search region 8140 is a
custom search region shape, and an interior of search region 8140
can be covered by circular search regions 11102-11126 that are
supported search region shapes, as illustrated in FIG. 11. For
instance, search region 11124 includes location 1225.
[0092] At 9030, one or more social network media data sources can
be queried. For example, the query can include search data and a
supported search region. For instance, the search data can include
one or more of a word, a phrase, a user profile, a portion of a
user profile, a social group, an organization, a user
identification, a regular expression, and a grammar, among others,
and the supported search region can include a search region of
search regions 10100-11126. At 9040, one or more results of the
query, associated with and/or corresponding to the supported search
region, can be received. At 9050, the one or more results of the
query can be stored.
[0093] At 9050, it can be determined if there is another search
region shape. If there is another search region shape, the method
can proceed to 9040. If there is not another search region shape,
the method can proceed to 9070, where one or more duplicates of the
search results can be eliminated.
[0094] In one or more embodiments, two or more of the supported
search region shapes can intersect, and those intersections can
yield duplicates in results of the queries based on respective
search region shapes. For example, search regions 10148 and 10150
intersect and can produce one or more duplicates in search data
results, since an area of an intersection of search regions 10148
and 10150 can be searched multiple times. For instance, search
regions 10148 and 10150 intersect and include location 1230, as
illustrated in FIG. 10, and one or more duplicates of the search
data results of an intersection of search regions 10148 and 10150
can be eliminated.
[0095] At 9080, one or more results that correspond to one or more
locations outside the custom search region shape can be eliminated.
For example, one or more locations that are outside one or more
edges of search region 8140 can be eliminated. For instance, search
region 10110 can include one or more locations outside one or more
edges of search region 8140, and results associated with and/or
corresponding to the one or more locations outside one or more
edges of search region 8140 can be eliminated. As illustrated in
FIG. 10, search region 10110 can include location 1220, and
location 1220 is outside one or more edges of search region 8140.
As such, one or more results associated with and/or corresponding
to location 1220 can be eliminated as falling outside the boundary
of the custom search region shape. At 9090, one or more results
based on the search data and the custom search region shape can be
provided to the client.
[0096] Turning now to FIG. 12, a computer system is illustrated,
according to one or more embodiments. As shown, a computer system
12000 can include a processor 12010 coupled to a memory medium
12020. In one or more embodiments, processor 12010 can include
and/or implement an instruction set architecture (ISA) that can
include instructions that can be stored via memory medium 12020
and/or can be executable by processor 12010
[0097] As illustrated, memory medium can include one or more
applications (APPs) 12070-12072 and an operating system (OS) 12075.
In one or more embodiments, one or more of APPs 12070-12072 and OS
12075 can store instructions, executable by processor 12010, that
can include one or more software programs in accordance with one or
more of methods, processes and/or flowcharts described herein.
[0098] As illustrated, computer system 12000 can include a network
interface 12030 coupled to processor 12010. In one example, network
interface 12030 can be configured to couple computer system 12000
to network 1010. In a second example, network interface 12030 can
be configured to couple computer system 12000 to a wireless AP. In
a third example, network interface 12030 can be configured to
couple computer system 12000 to a wired AP or gateway (e.g., a
cable modem, a DSL modem, a router, a switch, etc.). In another
example, network interface 12030 can be configured to couple
computer system 12000 to a wireless telephone network (e.g., a
cellular telephone network, a satellite telephone network,
etc.).
[0099] As shown, computer system 12000 can include an output
interface 12040 coupled to processor 12010. In one example, output
interface 12040 can include a display that can convey graphical
information to a user. In another example, output interface 12040
can be configured to be coupled to a display that can convey
graphical information to a user. In another example, output
interface 12040 can include or can be configured to be coupled to
an audio output device (e.g., a speaker).
[0100] As illustrated, computer system 12000 can include an input
interface 12050. In one example, input interface 12050 can include
one or more of a keyboard and a mouse, among others. In a second
example, input interface 12050 can be configured to be coupled to
one or more of a keyboard and a mouse, among others. In a third
example, input interface 12050 can include an input of a touch
screen. In a fourth example, input interface 12050 can include or
can be configured to be coupled to an audio input device (e.g., a
microphone). In another example, input interface 12050 can be
configured to be coupled to an input of a touch screen. In one or
more embodiments, one or more of CDs 1110-1132, API servers
2020-2024, databases 2030-2034, and application servers 2040-2050
can include one or more structures and/or functionalities described
with reference to computer system 12000.
[0101] In one or more embodiments, a computer system can include a
field programmable gate array (FPGA) coupled to a memory medium,
and the memory medium can store data and/or configuration
information that can be utilized by the FPGA in implementing one or
more systems, methods, and/or processes described herein. For
example, the configuration information and/or the one or more
instructions can include a hardware description language and/or a
schematic design that can be utilized by the FPGA to implement one
or more systems, methods, and/or processes described herein. In one
or more embodiments, the FPGA can include multiple programmable
logic components that can be configured and coupled to one another
in implementing one or more systems, methods, and/or processes
described herein.
[0102] In one or more embodiments, the FPGA can be coupled to one
or more of a network interface, an output interface, and an input
interface. In one or more embodiments, one or more of the network
interface, the output interface, and the input interface can
provide and/or implement one or more structures and/or
functionalities as described above.
[0103] In one or more embodiments, a computer system can include an
application specific processor (ASIC) coupled to a memory medium.
In one or more embodiments, the memory medium can store data and/or
configuration information that can be utilized by the ASIC in
implementing one or more systems, methods, and/or processes
described herein. For example, the memory medium can store a
configuration, and the configuration can include configuration
information and/or one or more instructions that can be utilized by
the ASIC to implement one or more systems, methods, and/or
processes described herein. In one or more embodiments, the memory
medium can store data and/or instructions that can be executed by
the ASIC. For instance, one or more APPs and/or an OS can include
instructions of an ISA associated with the ASIC.
[0104] In one or more embodiments, the ASIC can be coupled to one
or more of a network interface, an output interface, and an input
interface. In one or more embodiments, one or more of the network
interface, the output interface, and the input interface can
provide and/or implement one or more structures and/or
functionalities as described above.
[0105] In one or more embodiments, a computer system can include
graphics processing unit (GPU) coupled to a memory medium. For
example, the GPU can be or include a general purpose graphics
processing unit (GPGPU). In one or more embodiments, the memory
medium can store data and/or configuration information that can be
utilized by the GPU in implementing one or more systems, methods,
and/or processes described herein. For example, the memory medium
can store a configuration, and the configuration can include
configuration information and/or one or more instructions that can
be utilized by the GPU to implement one or more systems, methods,
and/or processes described herein.
[0106] In one or more embodiments, the GPU can be coupled to one or
more of a network interface, an output interface, and an input
interface. In one or more embodiments, one or more of the network
interface, the output interface, and the input interface can
provide and/or implement one or more structures and/or
functionalities as described above.
[0107] Turning now to FIG. 13, a mobile computer system is
illustrated, according to one or more embodiments. As shown, a
mobile computer system 13000 can include a processor 13010 coupled
to a memory medium 13020. As illustrated, memory medium can include
one or more APPs 13070-13072 and an OS 13075. In one or more
embodiments, one or more of APPs 13070-13072 and OS 13075 can store
instructions, executable by processor 13010, that can include one
or more software programs in accordance with one or more of
methods, processes and/or flowcharts described herein.
[0108] As illustrated, mobile computer system 13000 can include a
network interface 13030 coupled to processor 12010. In one example,
network interface 13030 can be configured to couple mobile computer
system 13000 to network 1010. In a second example, network
interface 13030 can be configured to couple mobile computer system
13000 to a wireless AP. In a third example, network interface 13030
can be configured to couple mobile computer system 13000 to a wired
AP or gateway (e.g., a cable modem, a DSL modem, a router, a
switch, etc.). In another example, network interface 13030 can be
configured to couple computer system 13000 to a wireless telephone
network (e.g., a cellular telephone network, a satellite telephone
network, etc.).
[0109] As shown, mobile computer system 13000 can include an output
interface 13040 coupled to processor 13010. In one example, output
interface 12040 can include a display that can convey graphical
information to a user. In another example, output interface 13040
can be configured to be coupled to a display that can convey
graphical information to a user. In another example, output
interface 13040 can include or can be configured to be coupled to
an audio output device (e.g., a speaker).
[0110] As illustrated, mobile computer system 13000 can include an
input interface 13050. In one example, input interface 13050 can
include one or more of a keyboard and a mouse, among others. In a
second example, input interface 13050 can be configured to be
coupled to one or more of a keyboard and a mouse, among others. In
a third example, input interface 13050 can include an input of a
touch screen. In a fourth example, input interface 13050 can
include or can be configured to be coupled to an audio input device
(e.g., a microphone). In another example, input interface 13050 can
be configured to be coupled to an input of a touch screen.
[0111] As shown, mobile computer system 13000 can include a
position device 13060 coupled to processor 13010. For example,
position device 13060 can determine location information and/or
provide the location information to processor 13010. For instance,
position device 13060 can determine location information based on
one or more of multilateration, trilateration, triangulation, and
multiangulation, among others. In one or more embodiments, position
device 13060 can include a GPS device and/or mechanism. For
example, a GPS device and/or mechanism can determine location
information and provide the determined location information to
processor 13010. In one or more embodiments, one or more of CDs
1110-1132 can include one or more structures and/or functionalities
described with reference to mobile computer system 13000.
[0112] In one or more embodiments, mobile computer system 13000 may
not include position device 13060. For example, position device
13060 can be eliminated from a design and/or implementation of
mobile computer system 13000 to conserve utilization of a power
source of mobile computer system 13000.
[0113] Turning now to FIG. 14, a method of providing location-based
information to a computing device is illustrated, according to one
or more embodiments. At 14010, one or more results of one or more
queries can be provided to a client (e.g., one of CDs 1130-1132).
For example, one or more of API servers 2020-2024 and application
servers 2040-2050 can provide the one or more results of one or
more queries to CD 1130.
[0114] In one or more embodiments, a client (e.g., a retail entity,
an advertising agency, a marketing agency, a promotion agency,
etc.) can provide information indicating a search region and data
of a search to one or more computing devices that perform the
method illustrated in FIG. 3, and the client can receive one or
more results of one or more queries. For example, the client can
provide information indicating a region 15510, as illustrated in
FIG. 15, and one or more search words or a search string to one or
more of API servers 2020-2024 and application servers 2040-2050. In
one instance, the string can include a word such as "shoes", and
one or more results of one or more queries associated with region
15510 and "shoes" can be provided to the client. In a second
instance, the string can include a word such as "hungry", and one
or more results of one or more queries associated with region 15510
and "hungry" (or variation such as "hunger", etc.) can be provided
to the client. In another instance, the string can include a word
such as "clothes", and one or more results of one or more queries
associated with region 15510 and "clothes" (or variation such as
"clothing", etc. or similarities such as "shirt", "dress", "pants",
"slacks", "skirt", "blouse", etc.) can be provided to the
client.
[0115] At 14020, location-based information (e.g., an
advertisement, a promotion, marketing information, a coupon,
directions to a store, etc.) can be provided to corresponding
computing devices that correspond to one or more results of one or
more queries of social network media data sources associated with a
region. In one example, CD 1130 can provide location-based
information to CD 1124, which corresponds with the one or more
results of one or more queries of social network media data sources
1610-1640 associated with region 15510. For instance, CD 1124 can
provide a search string that includes the word "clothing", and CD
1130 can provide one or more of an advertisement associated with
retail entity location (REL) 15040 (e.g., a clothing retailer
location, a department store, etc.), a promotion associated REL
15040, a coupon associated REL 15040, and one or more directions
(e.g., turn-by-turn directions) to REL 15040, among others. In one
or more embodiments, location-based information can be provided to
a computing device via one or more of a banner advertisement, a
text message, a SMS (short message service) message, an email
message, a video, and an in-application message, among others. As
illustrated in FIG. 15, the location based information can be
associated with a specific one of retail entity locations
15010-15150. In this way, for example, a social media network user
may include the word "clothes," for example, in a social media
update such as a "Tweet," for example, to a social media website
such as Twitter, for example, and the social media network user can
be presented with one or more location-based information associated
with the location from which the social media network user provided
the social media update.
[0116] In a second example, application server 2040 can provide
location-based information to CD 1120, which corresponds with the
one or more results of one or more queries of social network media
data sources 1610-1640 associated with region 15510. For instance,
CD 1120 can provide a string that includes the word "hungry", and
application server 2040 can provide one or more of an advertisement
associated with REL 15110 (e.g., a food purveyor location), a
promotion associated REL 15110, a coupon associated REL 15110, and
one or more directions to REL 15110, among others. In third
example, API server 2020 can provide location based information to
CD 1125, which corresponds with the one or more results of one or
more queries associated with region 15510. For instance, CD 1125
can provide a string that includes the word "shoes", and API server
2020 can provide one or more of an advertisement associated with
REL 15060 (e.g. a shoe store, a department store, etc.), a
promotion associated REL 15060, a coupon associated REL 15060, and
directions to REL 15060, among others.
[0117] In another example, social media data source 1610 can
provide location-based information to CD 1111, which corresponds
with one or more results of one or more queries associated with
region 15520. For instance, CD 1111 can provide a string that
includes the word "sunglasses", and social media data source 1610
can provide one or more of an advertisement associated with REL
15030 (e.g., a glasses retailer location, a department store,
etc.), a promotion associated REL 15030, a coupon associated REL
15030, and directions to REL 15030, among others. In one or more
embodiments, social media data source 1610 can support an API that
permits CD 1130 to provide location-based information to CD 1111.
For example, CD 1130 can provide the location-based information to
CD 1111 via social media data source 1610.
[0118] Turning now to FIG. 16, a method of providing location-based
information to a computing device is illustrated, according to one
or more embodiments. At 16010, a client (e.g., a computer system of
a retail entity, a computer system of an advertising agency, a
computer system of a marketing agency, a computer system of a
promotion agency, a computing device of CDs 1130-1132, etc.) can
provide at least one search region to a social media query system,
via a network (e.g., network 1010). For example, the social media
query system can include one or more structures and/or
functionalities as those described with reference to the social
media query system illustrated in FIG. 2.
[0119] At 16020, the client can provide search data to the social
media query system, via the network. For example, the search data
can include one or more of a word, words, a phrase, a user profile,
a portion of a user profile, a regular expression, a natural
language filter, a grammar, a social group, an organization, and a
user identification, among others. At 16030, the client can receive
multiple results from the social media query system, via the
network. For example, the multiple results can be based on the
search data and the at least one search region, and the multiple
results can correspond to multiple computing devices (e.g.,
multiple of CDs 1110-1126). For instance, each of the multiple
results can correspond to each of the multiple computing
devices.
[0120] At 16040, the client can provide, via the network, each of
the multiple computing devices location based information that is
based on a corresponding one of the multiple results from the
social media query system. For example, the client can provide
location based one or more directions to REL 15050, illustrated in
FIG. 15, a location based coupon, a location based promotion,
location based marketing information, and a location based
advertisement to each of multiple computing devices based on a
corresponding one of the multiple results from the social media
query system. In one instance, the client can provide CD 1125 one
or more directions to REL 15050 based on a first result of the
multiple results from the social media query system. In a second
instance, the client can provide a coupon to CD 1124 based on a
second result of the multiple results from the social media query
system. In a third instance, the client can provide a promotion to
CD 1110 based on a third result of the multiple results from the
social media query system. In a fourth instance, the client can
provide marketing information to CD 1122 based on a fourth result
of the multiple results from the social media query system. In
another instance, the client can provide an advertisement to CD
1120 based on a fifth result of the multiple results from the
social media query system.
[0121] Turning now to FIG. 17, a method of changing a position of a
search region, according to one or more embodiments. At 17010,
input selecting a search region, at a first position, can be
received. In one example, a first computing device can receive
input from a second computing device which selects a search region.
In another example, a computing device can receive user input that
selects a search region. For instance, a search region of search
regions 4110, 5110, and 8130, as shown in FIG. 19, can be selected.
In one or more embodiments, one or more of map 4010 and search
regions 4110, 5110, and 8130 can be displayed to a user via one or
more of a screen, a projector, a GUI, and a display, among others,
and the user input that selects a search region can be received via
a keyboard and/or a pointing device (e.g., a mouse, a trackpad, a
trackball, a touch screen that can determine contact from a stylus
and/or a finger).
[0122] At 17020, input indicating a change of position of the
search region from the first position to a second position. In one
example, a first computing device can receive input from a second
computing device which provides data to the first computing device
that indicates the change of position of the search region from the
first position to the second position. In another example, a
computing device can receive user input that indicates a change of
a position search region, at a first position, to a second
position. For instance, a search region of search regions 4110,
5110, and 8130, as shown in FIG. 19, can be changed from a first
position to a second position as shown in FIG. 20.
[0123] In one or more embodiments, one or more of map 4010 and
search regions 4110, 5110, and 8130 can be displayed to a user via
one or more of a screen, a projector, a GUI, and a display, among
others, and the user input that indicates a change of a position
search region, at a first position, to a second position can be
received via a keyboard and/or a pointing device (e.g., a mouse, a
trackpad, a trackball, a touch screen that can determine contact
from a stylus and/or a finger). In one example, a user can provide
numeric or alphanumeric input that indicates the second position of
the search region. In another example, the user can utilize a
pointing device to "drag" the search region to the second
position.
[0124] At 17030, a position of the search region can be changed to
the second position. In one or more embodiments, one or more
systems, methods, and/or processes described herein can utilize the
second position of the search region. In one example, search region
4110 may no longer be associated with a location, as illustrated in
FIG. 20. In a second example, search region 5110 can be associated
with locations 1235 and 1240, as illustrated in FIG. 20. In another
example, search region 8110 can be associated with location 1220,
as shown in FIG. 20. In one or more embodiments, one or more
queries can be generated that utilize a second position of a search
region.
[0125] Turning now to FIG. 18, a method of changing a size of a
search region is illustrated, according to one or more embodiments.
At 18010, input selecting a search region, of a first size, can be
received. In one example, a first computing device can receive
input from a second computing device which selects a search region.
In another example, a computing device can receive user input that
selects a search region. For instance, a search region of search
regions 4110, 5110, and 8130, as shown in FIG. 19, can be selected.
In one or more embodiments, one or more of map 4010 and search
regions 4110, 5110, and 8130 can be displayed to a user via one or
more of a screen, a projector, a GUI, and a display, among others,
and the user input that selects a search region can be received via
a keyboard and/or a pointing device (e.g., a mouse, a trackpad, a
trackball, a touch screen that can determine contact from a stylus
and/or a finger).
[0126] At 18020, input indicating a change of size of the search
region from the first size to a second size. In one example, a
first computing device can receive input from a second computing
device which provides data to the first computing device that
indicates the change of size of the search region from the first
size to the second size. In another example, a computing device can
receive user input that indicates a change of the size search
region, of the first size, to a second size. For instance, a search
region of search regions 4110, 5110, and 8130, as shown in FIG. 19,
can be changed from a size position to a second size as shown in
FIG. 21.
[0127] In one or more embodiments, one or more of map 4010 and
search regions 4110, 5110, and 8130 can be displayed to a user via
one or more of a screen, a projector, a GUI, and a display, among
others, and the user input that indicates a change of a size search
region, of a first size, to a second size can be received via a
keyboard and/or a pointing device (e.g., a mouse, a trackpad, a
trackball, a touch screen that can determine contact from a stylus
and/or a finger). In one example, a user can provide numeric or
alphanumeric input that indicates the second size of the search
region. In another example, the user can utilize a pointing device
to "drag" an edge of a search region to change the size of the
search region.
[0128] At 18030, a size of the search region can be changed to the
second size. In one or more embodiments, one or more systems,
methods, and/or processes described herein can utilize the second
size of the search region. In one example, search region 4110 can
be associated with locations 1210 and 1250, as illustrated in FIG.
21. In a second example, search region 5110 may no longer be
associated with a location, as illustrated in FIG. 21. In another
example, search region 8110 may not be associated with a location,
as illustrated in FIG. 21. In one or more embodiments, one or more
queries can be generated that utilize a second size of a search
region.
[0129] Turning now to FIG. 22, exemplary search results are
illustrated, according to one or more embodiments. As illustrated,
one or more search results 22210-22232 can be provided via a map
22010. For example, the one or more search results 22210-22232
and/or map 22010 can be provided to a user via a display and/or a
GUI.
[0130] As shown, a search region 22110 can be provided via map
22010. As illustrated, icons can indicate one or more locations of
respective one or more search results 22210-22232. In one or more
embodiments, a number of computing devices and/or user accounts
corresponding to the one or more search results 22210-22232 can be
indicated. For example, a number within a characters "I" can
indicate an amount (e.g., an integral number) of computing devices
and/or user accounts corresponding to the one or more search
results 22210-22232.
[0131] In one or more embodiments, one or more icons corresponding
to the one or more search results 22210-22232 can be customized. In
one example, a user can select the one or more icons. In a second
example, an icon can be sized in an accordance with an amount
(e.g., an integral number) of computing devices and/or user
accounts corresponding to the search result. In another example, an
icon can be sized in an accordance with a radius of uncertainty of
a location corresponding to the search result. For instance, each
of one or more locations provided via one or more of a GPS device,
an access point, a WTNN, multilateration, trilateration, and
triangulation, among others, can be associated with a radius of
uncertainty.
[0132] In one or more embodiments, a computer system, a computing
device, and/or a computer can be broadly characterized to include
any device that includes a processor that executes instructions
from a memory medium. For example, the term "memory medium" can
mean a "memory", a "memory device", "storage device", and/or
"tangible computer readable storage medium". In one instance, one
or more of a "memory", a "memory device", "storage device" and
"tangible computer readable storage medium" can include volatile
storage such as random access memory (RAM), SRAM (static RAM), DRAM
(dynamic RAM), EDO RAM (extended data out RAM), Rambus RAM, etc. In
another instance, one or more of a "memory", a "memory device", and
"tangible computer readable storage medium" can include nonvolatile
storage such as a ROM (read only memory), a PROM (programmable
ROM), an EPROM (erasable PROM), an EEPROM (electrically erasable
PROM), flash memory, NVRAM (non-volatile RAM), FRAM (ferroelectric
RAM), a CD-ROM, a DVD-ROM, a floppy disk, a magnetic tape, a
magnetic media (e.g., a hard drive), optical storage, etc. In one
or more embodiments, a memory medium can include one or more
volatile storages and/or one or more nonvolatile storages.
[0133] In one or more embodiments, a processor (e.g., a central
processing unit or CPU) can execute instructions from a memory
medium that stores the instructions that can include one or more
software programs in accordance with one or more of methods,
processes and/or flowcharts described herein. In one example, the
processor and the memory medium, that stores the instructions which
can include one or more software programs in accordance with one or
more of methods, processes and/or flowcharts described herein, can
form one or more means for one or more functionalities described
with references to methods, processes and/or flowcharts herein. In
a second example, a GPU and the memory medium, that stores the
instructions which can include one or more software programs in
accordance with one or more of methods, processes and/or flowcharts
described herein, can form one or more means for one or more
functionalities described with references to methods, processes
and/or flowcharts herein.
[0134] In a third example, a FPGA can be configured with one or
more configurations in accordance with one or more of methods,
processes and/or flowcharts described herein, that can form one or
more means for one or more functionalities described with
references to methods, processes and/or flowcharts herein. In a
fourth example, an ASIC and the memory medium, that stores the
instructions which can include one or more software programs in
accordance with one or more of methods, processes and/or flowcharts
described herein, can form one or more means for one or more
functionalities described with references to methods, processes
and/or flowcharts herein. In a fifth example, an ASIC can be
configured with one or more configurations in accordance with one
or more of methods, processes and/or flowcharts described herein,
that can form one or more means for one or more functionalities
described with references to methods, processes and/or flowcharts
herein.
[0135] In a sixth example, an ASIC and the memory medium, that
stores the instructions which can include one or more software
programs in accordance with one or more of methods, processes
and/or flowcharts described herein, can form one or more means for
one or more functionalities described with references to methods,
processes and/or flowcharts herein. In another example, the memory
medium, that stores the instructions which can include one or more
software programs in accordance with one or more of methods,
processes and/or flowcharts described herein, can include,
implement, and/or form an article of manufacture. When terms are
used in this disclosure in the singular they shall be deemed to
include the plural when applicable, and when used herein in the
plural to include the singular when applicable.
[0136] One or more of the method elements described herein and/or
one or more portions of an implementation of a method element can
be repeated, can be performed in varying orders, can be performed
concurrently with one or more of the other method elements and/or
one or more portions of an implementation of a method element, or
can be omitted, according to one or more embodiments. In one or
more embodiments, concurrently can mean simultaneously. In one or
more embodiments, concurrently can mean apparently simultaneously
according to some metric. For example, two tasks can be context
switched such that such that they appear to be simultaneous to a
human. In one instance, a first task of the two tasks can include a
first method element and/or a first portion of a first method
element. In a second instance, a second task of the two tasks can
include a second method element and/or a first portion of a second
method element. In another instance, a second task of the two tasks
can include the first method element and/or a second portion of the
first method element. Further, one or more of the system elements
described herein can be omitted and additional system elements can
be added as desired, according to one or more embodiments.
Moreover, supplementary, additional, and/or duplicated method
elements can be instantiated and/or performed as desired, according
to one or more embodiments.
[0137] One or more modifications and/or alternatives of the
embodiments described herein may be apparent to those skilled in
the art in view of this description. Hence, descriptions of the
embodiments, described herein, are to be taken and/or construed as
illustrative and/or exemplary only and are for the purpose of
teaching those skilled in the art the general manner of carrying
out methods, processes, and/or systems described herein. In one or
more embodiments, one or more materials and/or elements can be
swapped or substituted for those illustrated and described herein.
In one or more embodiments, one or more parts and/or processes can
be reversed, and/or certain one or more features of the described
one or more embodiments can be utilized independently, as would be
apparent to one skilled in the art after having the benefit of this
description.
* * * * *