TRIBE OR GROUP-BASED ANALYSIS OF SOCIAL MEDIA INCLUDING GENERATING INTELLIGENCE FROM A TRIBE'S WEBLOGS OR BLOGS

• US 20080215607A1
• Filed: 02/27/2008
• Published: 09/04/2008
• Est. Priority Date: 03/02/2007
• Status: Abandoned Application

• Current Assignee: J.D. Power and Associates, Inc.
• Original Assignee: Umbria, Inc. (J.D. Power)
• Inventors: Tuohig, William A., Wolniewicz, Richard Hansen, Nicolov, Nicolas, Kremer, Ted V., Kaushansky, Howard
• Application Number:
  US12/038,692
• Publication Number:
  US 20080215607A1
• Time in Patent Office: Days
• US Class Current: 707/102
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A computer-based method for generating intelligence from social media data, such as blog data, that is publicly available on the Internet. A server is provided that runs a tribe analysis tool, and the method includes accessing a set of the social media data with the tribe analysis tool. The social media data is associated with a plurality of network users or authors. The method continues with operating the tribe analysis tool to identify members of a tribe from the authors by processing the set of social media data to determine the authors having associated portions of the social media data that satisfies tribe membership criteria. Common interests for the identified members of the tribe are determined by processing the social media data associated with the tribe authors. A report is generated for the tribe that includes information related to the set of common interests and additional generated tribe-based intelligence.

Claims

1. A computer-based method for generating intelligence from social media data available on the Internet or other communications networks, comprising:

providing a server running a tribe analysis tool on a digital communications network;

accessing a set of social media data with the tribe analysis tool, the social media data being associated with a plurality of authors;

operating the tribe analysis tool to identify members of a tribe from the plurality of authors by processing the set of social media data to determine the authors associated with portions of the social media data that satisfies a set of tribe membership criteria;

determining with the tribe analysis tool a set of common interests for the identified members of the tribe by processing a subset of the social media data associated with the authors that are the identified members of the tribe; and

generating a report with the tribe analysis tool for the tribe including information related to the set of common interests.

2. The method of claim 1, wherein the set of social media data comprises data from a set of web logs served on the digital communications network.

3. The method of claim 2, wherein the subset of the social media data comprises postings in the set of web logs by the identified authors.

4. The method of claim 1, wherein the set of tribe membership criteria comprises one or more criteria selected from the group consisting of, age;

gender;

sentiment regarding a topic;

behavior;

mentioning particular phrases in a posting;

blog host;

political affiliation;

religious characteristics;

sexual preferences;

race;

geographical location;

similar content to which authors point;

marital status;

family size;

number of children;

role in a social media;

influence in the social media, influencer characterization;

education;

income;

occupation;

purchasing habits;

social role;

social label;

sports interests;

sports participation;

hobbies;

personality;

brand loyalty;

multimedia content;

metadata; and

favorite entertainment programs.

5. The method of claim 1, further comprising determining a sentiment for each of the identified members of the tribe for each of the common interests, aggregating the determined sentiments, and including the aggregated sentiments in the report with the set of common interests.

6. The method of claim 5, further comprising operating the tribe analysis tool to compare the common interests of the tribe and the aggregated sentiments regarding the common interests with interests and sentiments of a tribe with differing membership than the tribe or of the plurality of authors providing the social media data.

7. The method of claim 1, further comprising determining with the tribe analysis tool common interests for the plurality of authors of the set of social media data and then determining differences between the common interests of the plurality of authors and the set of common interests of the members of the tribe.

8. The method of claim 1, further comprising after a period of time repeating the operating of the tribe analysis tool to identify a new membership of the tribe.

9. The method of claim 1 wherein the accessing of the social media data comprises aggregating in a data store data posted by the plurality of authors on social media on the digital communications network, the method further comprising repeating the accessing step after a period of time to include additional postings by the plurality of authors to the social media.

10. The method of claim 9, wherein the determining of the set of common interests is performed by comparing a set of predefined interests to the subset of the social media data to determine whether one or more of the predefined interests is a common interest for the identified members of the tribe.

11. A method for gathering intelligence from data available on web logs or blogs, comprising:

with an analysis tool run by a processor of a computer, aggregating a set of blog data posted by a plurality of authors;

defining a set of the authors with the analysis tool to be members of a tribe;

operating the analysis tool to collect and store in memory the blog data for a period of time that is associated with the members of the tribe;

processing the tribe blog data for each tribe member to determine a set of interests;

with the analysis tools comparing the sets of interests to determine a set of common interests for the tribe; and

with the analysis tool, outputting a report including data related to the determined set of common interests.

12. The method of claim 11, wherein the defining of the set of the authors that are the tribe members comprises retrieving from memory a membership criteria and then processing the set of the blog data posted by the plurality of authors with the membership criteria.

13. The method of claim 12, wherein the membership criteria is compared to phrases in the blog data and comprises one or more criteria selected from the group consisting of:

age;

gender;

sentiment regarding a topic;

behavior;

mentioning particular phrases in a posting;

blog host;

political affiliation;

religious characteristics;

sexual preferences;

race;

geographical location;

similar content to which authors point;

marital status;

family size, number of children;

role in a social media;

influence in the social media;

influencer characterization;

education;

income;

occupation;

purchasing habits;

social role;

social label;

sports interests;

sports participation;

hobbies;

personality;

brand loyalty;

multimedia content;

metadata; and

favorite entertainment programs.

14. The method of claim 11, wherein the data related to the determined set of the common interests provided in the report comprises a sentiment for the member of the tribe for each of the common interests.

15. The method of claim 11, wherein the data related to the determined set of the common interests provided in the report comprises results of a query regarding a topic applied to the tribe blog data.

16. The method of claim 11, wherein the data related to the determined set of the common interests provided in the report comprises intelligence related to a comparing of the determined set of common interests to common interests of another tribe with at least some differing members.

17. The method of claim 11, wherein the data related to the determined set of the common interests provided in the report comprises trending data indicative of changes make up of the authors defined to be the members of the tribe.

18. A computer readable medium for performing analysis of data available over a network in one or more social media systems, comprising:

computer readable program code devices configured to cause a computer to effect retrieving social media data from memory accessible via the network;

computer readable program code devices configured to cause the computer to effect applying a membership criteria to the retrieved social media data to identify a subset of authors of the retrieved social media data;

computer readable program code devices configured to cause the computer to effect identifying and storing in memory a portion of the retrieved social media data associated with the subset of authors; and

computer readable program code devices configured to cause the computer to effect processing the portion of the social media data to determine a set of common interests of the subset of authors.

19. The computer readable medium of claim 18, wherein the processing to determine the set of common interests comprises first identifying interests of each of the authors and second comparing the interests of all the authors to identify the set of common interests for the subset of authors.

20. The computer readable medium of claim 18, further comprising computer readable program code devices configured to cause the computer to effect determining a sentiment of the subset of authors regarding each of the common interests, determining a sentiment regarding the common interests by authors of the retrieved social media, and comparing the two sentiments for each of the common interests to determine differing ones of the sentiments.

21. The computer readable medium of claim 18, further comprising computer readable program code devices configured to cause the computer to effect determining a level of concern for the subset of authors regarding a topic by processing the portion of the social media data, wherein the portion of the social media data includes postings made over the network during a defined period of time.

22. The computer readable medium of claim 21, wherein the social media data comprises data from a set of web logs served on the network.

23. The computer readable medium of claim 22, wherein each of the subset of authors is identified by a web log URL and the web log URLs of the authors is used in the identifying of the portion of the social media data.

24. A method for generating intelligence from social media data available on the Internet or other communications networks, comprising:

accessing a set of social media data associated with a plurality of authors;

identifying members of a tribe from the plurality of authors by processing the set of social media data to determine the authors associated with portions of the social media data that satisfies a set of tribe membership criteria;

determining a set of common interests for the identified members of the tribe by processing a subset of the social media data associated with the authors that are the identified members of the tribe; and

generating a report for the tribe including information related to the set of common interests.

25. The method of claim 24, wherein the set of social media data comprises data from a set of web logs served on the digital communications network.

26. The method of claim 25, wherein the subset of the social media data comprises postings in the set of web logs by the identified authors.

27. The method of claim 24, further comprising determining a sentiment for each of the identified members of the tribe for each of the common interests, aggregating the determined sentiments, and including the aggregated sentiments in the report with the set of common interests.

28. The method of claim 27, further comprising comparing the common interests of the tribe and the aggregated sentiments regarding the common interests with interests and sentiments of a tribe with differing membership than the tribe or of the plurality of authors providing the social media data and reporting results of the comparing.

29. The method of claim 24, further comprising after a period of time repeating the identifying step to determine a new membership of the tribe.

30. The method of claim 24, wherein the accessing of the social media data comprises aggregating data posted by the plurality of authors on social media on the digital communications network, the method further comprising repeating the accessing step after a period of time to include additional postings by the plurality of authors to the social media.

31. The method of claim 30, wherein the determining of the set of common interests is performed by comparing a set of predefined interests to the subset of the social media data to determine whether one or more of the predefined interests is a common interest for the identified members of the tribe.