Systems and methods for the analysis and dissemination of data within a networked community

• US 9,064,234 B2
• Filed: 07/13/2012
• Issued: 06/23/2015
• Est. Priority Date: 07/13/2011
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Sharp, Charles L.
• Primary Examiner(s): Gillis, Brian J
• Assistant Examiner(s): GRIJALVA LOBOS, BORIS D
• Application Number:
  US13/549,194
• Publication Number:
  US 20130018959A1
• Time in Patent Office: 1,075 Days
• Field of Search: 709103-104, 709201-202, 709203-204, 707/10
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A computer-implemented method for analyzing and disseminating data within a networked community is described. It is determined whether to gather data from a variety of data sources. Members of the networked community may also contribute data. The data is gathered and provided to an administrator of the networked community. Upon being analyzed, the data is disseminated to the members of the networked community.

Claims

1. A computer-implemented method for the analysis and dissemination of data within a networked community, comprising:

determining, via a processor, whether to gather data from within a plurality of data sources for analysis;

gathering, via the processor, data from the plurality of data sources according to a frequency assigned by an administrator of the networked community;

granting, via the processor, a first at least one member of the networked community the ability to contribute data to the networked community;

providing, via the processor, the administrator of the networked community with a set of data gathered from the plurality of data sources and the first at least one member of the networked community for analysis;

providing, via the processor, the administrator of the networked community with the ability to analyze the set of data, in part by determining a portion of data within the set of data to disseminate and further in part by determining how the portion of data should be disseminated;

disseminating, via the processor, analyzed data to a second at least one member of the networked community according to settings associated with the second at least one member of the networked community;

comparing, via the processor, data traffic in the set of data to an historical average of traffic data associated with at least one of the plurality of data sources;

determining, via the processor, whether the data traffic in the set of data satisfies a predetermined range of data traffic based on the historical average of traffic data;

upon determining the data traffic in the set of data satisfies the predetermined range of data traffic, generating, via the processor, a post and sending the post to the administrator of the networked community;

sorting, via the processor, a plurality of posts by category;

bundling, via the processor, posts of one category into a thread, the thread enabling members of the network community to view the bundled posts by selecting the thread; and

appending, via the processor, one or more intelligence briefs to the thread of bundled posts, the intelligence briefs providing client strategy and guidance in relation to the category of the bundled posts.

2. The method of claim 1, wherein the step of determining whether to gather data from the plurality of data sources includes:

using a weight applied to a first grouping of the plurality of data sources to determine whether to gather data from the first grouping of the plurality of data sources;

using a data source identity within a second grouping of the plurality of data sources to determine whether to gather data from the second grouping of the plurality of data sources; and

using a data source popularity within a third grouping of the plurality of data sources to determine whether to gather data from the third grouping of the plurality of data sources.

3. The method of claim 2, further comprising:

providing, via the processor, the administrator of the networked community with the ability to instruct a gathering of data from at least one of the plurality of data sources at any particular moment; and

providing, via the processor, the administrator of the networked community with the ability to assign the weight applied to the first grouping of the plurality of data sources.

4. The method of claim 3, wherein the settings associated with the second at least one member of the networked community are determined by preferences set by the second at least one member of the networked community.

5. The method of claim 4, further comprising:

electronically providing, via the processor, a page for members of the networked community to interact with the analyzed data.

6. A computing device configured to analyze and disseminate data within a networked community, comprising:

a processor;

memory in electronic communication with the processor; and

instructions stored in the memory, the instructions being executable by the processor to;

determine whether to gather data from within a plurality of data sources for analysis;

gather data from the plurality of data sources according to a frequency assigned by an administrator of the networked community;

grant a first at least one member of the networked community the ability to contribute data to the networked community;

provide the administrator of the networked community with a set of data gathered from the plurality of data sources and the first at least one member of the networked community for analysis;

provide the administrator of the networked community with the ability to analyze the set of data, in part by determining a portion of data within the set of data to disseminate and further in part by determining how the portion of data should be disseminated;

disseminate analyzed data to a second at least one member of the networked community according to settings associated with the second at least one member of the networked community;

compare data traffic in the set of data to an historical average of traffic data associated with at least one of the plurality of data sources;

determine whether the data traffic in the set of data satisfies a predetermined range of data traffic based on the historical average of traffic data;

upon determining the data traffic in the set of data satisfies the predetermined range of data traffic, generate a post and sending the post to the administrator of the networked community;

sort a plurality of posts by category;

bundle posts of one category into a thread, the thread enabling members of the network community to view the bundled posts by selecting the thread; and

append one or more intelligence briefs to the thread of bundled posts, the intelligence briefs providing client strategy and guidance in relation to the category of the bundled posts.

7. The computing device of claim 6, wherein the instructions are executable by the processor to:

use a weight applied to a first grouping of the plurality of data sources to determine whether to gather data from the first grouping of the plurality of data sources;

use a data source identity within a second grouping of the plurality of data sources to determine whether to gather data from the second grouping of the plurality of data sources; and

use a data source popularity within a third grouping of the plurality of data sources to determine whether to gather data from the third grouping of the plurality of data sources.

8. The computing device of claim 7, wherein the instructions are executable by the processor to:

provide the administrator of the networked community with the ability to instruct a gathering of data from at least one of the plurality of data sources at any particular moment; and

provide the administrator of the networked community with the ability to assign the weight applied to the first grouping of the plurality of data sources.

9. The computing device of claim 8, wherein the settings associated with the second at least one member of the networked community are determined by preferences set by the second at least one member of the networked community.

10. The computing device of claim 9, wherein the instructions are executable by the processor to:

electronically provide a page for members of the networked community to interact with the analyzed data.

11. A computer-program product for analyzing and disseminating, by a processor, data within a networked community, the computer-program product comprising a non-transitory computer-readable medium having instructions thereon, the instructions being executable by the processor to:

determine whether to gather data from within a plurality of data sources for analysis;

gather data from the plurality of data sources according to a frequency assigned by an administrator of the networked community;

grant a first at least one member of the networked community the ability to contribute data to the networked community;

provide the administrator of the networked community with a set of data gathered from the plurality of data sources and the first at least one member of the networked community for analysis;

provide the administrator of the networked community with the ability to analyze the set of data, in part by determining a portion of data within the set of data to disseminate and further in part by determining how the portion of data should be disseminated; and

disseminate analyzed data to a second at least one member of the networked community according to settings associated with the second at least one member of the networked community;

compare data traffic in the set of data to an historical average of traffic data associated with at least one of the plurality of data sources;

determine whether the data traffic in the set of data satisfies a predetermined range of data traffic based on the historical average of traffic data;

upon determining the data traffic in the set of data satisfies the predetermined range of data traffic, generate a post and sending the post to the administrator of the networked community;

sort a plurality of posts by category;

bundle posts of one category into a thread, the thread enabling members of the network community to view the bundled posts by selecting the thread; and

append one or more intelligence briefs to the thread of bundled posts, the intelligence briefs providing client strategy and guidance in relation to the category of the bundled posts.

12. The computer-program product of claim 11, the instructions further comprising:

use a weight applied to a first grouping of the plurality of data sources to determine whether to gather data from the first grouping of the plurality of data sources;

use a data source identity within a second grouping of the plurality of data sources to determine whether to gather data from the second grouping of the plurality of data sources; and

using a data source popularity within a third grouping of the plurality of data sources to determine whether to gather data from the third grouping of the plurality of data sources.

13. The computer-program product of claim 12, wherein the instructions are executable by the processor to:

provide the administrator of the networked community with the ability to instruct a gathering of data from at least one of the plurality of data sources at any particular moment; and

provide the administrator of the networked community with the ability to assign the weight applied to the first grouping of the plurality of data sources.

14. The computer-program product of claim 13, wherein the settings associated with the second at least one member of the networked community are determined by preferences set by the second at least one member of the networked community.

15. The computer-program product of claim 14, wherein the instructions are executable by the processor to:

electronically provide a page for members of the networked community to interact with the analyzed data.