METHODS AND SYSTEMS FOR EXTRACTING AND MANAGING LATENT SOCIAL NETWORKS FOR USE IN COMMERCIAL ACTIVITIES

• US 20140108156A1
• Filed: 12/18/2013
• Published: 04/17/2014
• Est. Priority Date: 04/02/2009
• Status: Abandoned Application

• Current Assignee: Talk3, Inc.
• Original Assignee: Talk3, Inc.
• Inventors: HILLERBRAND, Eric
• Application Number:
  US14/133,053
• Publication Number:
  US 20140108156A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system and method for extracting and managing latent social networks is described. The system generally comprises a network modeling component, a digital information component coupled to the network modeling component, and at least one third party computer system coupled to the network modeling component over a first network. The method operates to process user data to identify and extract at least one latent social network, and identify user needs within the network. The method also allows communications between a first entity (such as a brand or advertiser) and the user, such that information relating to the identified user needs may be delivered directly to the user.

Claims

1. A computer system comprising:

at least one server computer; and

,

at least one client computer coupled to the at least one server computer through a network;

wherein the at least one server computer includes at least one program stored thereon, said at least one program being capable of performing the following steps;

extracting data from one or more social networks;

extracting data from content socially generated by one or more users;

processing the user socially generated content in digital format to identify at least one latent social network based on a specific graphical context including the steps of;

establishing one or more relationships between the user socially generated content and information stored in a first datastore;

establishing the degree to which the user socially generated content and the one or more relationships conform to at least one predetermined pattern;

identifying a latent social network based on the at least one relationship and the at least one predetermined pattern; and

,

processing a first set of user data to identify at least one user need of a user within the at least one latent social network.

2. The computer system of claim 1, wherein said at least one program is capable of performing the further step of:

enabling communication between a first entity and the at least one user; and

,

delivering information relating to the at least one user need to the at least one user.

3. The computer system of claim 2, wherein said at least one program is capable of performing the further step of:

providing the at least one user the ability to purchase one or more products.

4. The computer system of claim 2, wherein said step of delivering information relating to the at least one user need to the at least one user further comprises:

delivering information related to the at least one latent social network and the specific context.

5. The computer system of claim 2, wherein said step of delivering information relating to the at least one user need to the at least one user further comprises:

delivering an offer to purchase at least one product to the at least one user.

6. The computer system of claim 2, wherein said at least one program is capable of performing the further step of:

permitting the at least one user to share the delivered information with other users of the latent social network.

7. The computer system of claim 6, wherein the delivered information comprises an offer to purchase at least one product, and the system permits the user to share said offer to purchase with other users of the latent social network.

8. The computer system of claim 3, wherein the step of providing the at least one user the ability to purchase one or more products comprises providing the at least one user the ability to purchase products over a network.

9. The computer system of claim 3, wherein the step of providing the at least one user the ability to purchase one or more products comprises providing the at least one user the ability to purchase products in a store.

10. The computer system of claim 2, wherein the step of enabling communication between a first entity and the at least one user comprises taking a survey from the at least one user.

11. The computer system of claim 1, wherein said step of processing the user socially generated content to identify at least one latent social network based on a specific context further comprises:

implementing at least one algorithm to determine the at least one predetermined pattern;

measuring feedback; and

,

modifying the at least one algorithm based on the measured feedback.

12. The computer system of claim 1, wherein the latent social network comprises one selected from the group consisting of:

persons, policies, procedures, and computer systems.

13. The computer system of claim 1, wherein said step of processing user information in digital format comprises generating at least one token corresponding to the user information.

14. The computer system of claim 1, wherein the first set of user data comprises one selected from the group consisting of:

blog content, e-mails, microblog content, SMS messages, and user profiles.

15. The computer system of claim 1, wherein the first set of user data comprises one selected from the group consisting of:

user-generated content, spreadsheets, presentations, accounting reports, system descriptions, policy manuals, and transactional data.

16. The computer system of claim 2, wherein the first entity comprises an advertiser.

17. The computer system of claim 1, wherein the step of extracting data from content socially generated by one or more users comprises:

extracting data from one selected from the group consisting of;

social networking sites, blogs, and SMS messages.

18. A computer system comprising:

a digital information component coupled to the network modeling component, said digital information component extracting data from content socially generated by one or more users;

a network modeling component processing the user socially generated content in digital format to identify at least one latent social network based on a specific graphical context including the steps of;

establishing one or more relationships between the user socially generated content and information stored in a first datastore;

establishing the degree to which the user socially generated content and the one or more relationships conform to at least one predetermined pattern;

identifying a latent social network based on the at least one relationship and the at least one predetermined pattern; and

,

at least one third party computer system coupled to the network modeling component over a first network.

19. The computer system of claim 18, wherein the network modeling component further comprises:

an information processing component;

an application processing component; and

,

the first datastore.

20. The computer system of claim 19, wherein the information processing component parses information and creates at least one token corresponding to the information.

21. The computer system of claim 19, wherein the information processing component parses information selected from the group consisting of:

blog content, e-mails, microblog content, SMS messages, and user profiles.

22. The computer system of claim 20, wherein the application processing component compares the at least one token to one or more tokens stored in the first datastore.

23. The computer system of claim 22, wherein the application processing component generates an n-dimensional graph of tokens in which every token is connected with every other token.

24. A non-transitory computer readable medium having embodied therein a computer program for processing by a machine, the computer program comprising:

a first code segment for extracting data from one or more social networks;

a second code segment for extracting data from content socially generated by one or more users;

a third code segment for processing the user socially generated content in digital format to identify at least one latent social network based on a specific graphical context by performing steps including;

establishing one or more relationships between the user socially generated content and information stored in a first datastore;

establishing the degree to which the user socially generated content and the one or more relationships conform to at least one predetermined pattern;

identifying a latent social network based on the at least one relationship and the at least one predetermined pattern; and

,

a fourth code segment for processing a first set of user data to identify at least one user need of a user within the at least one latent social network.

25. The non-transitory computer readable medium of claim 24, wherein the computer program further comprises:

a fifth code segment for enabling communication between a first entity and the at least one user; and

,

a sixth code segment for delivering information relating to the at least one user need to the at least one user.

26. The non-transitory computer readable medium of claim 25, wherein the computer program further comprises:

a seventh code segment for providing the at least one user the ability to purchase one or more products.

27. The non-transitory computer readable medium of claim 26, wherein the seventh code segment for providing the at least one user the ability to purchase one or more products comprises code for providing the at least one user the ability to purchase products over a network.

28. The non-transitory computer readable medium of claim 26, wherein the seventh code segment for providing the at least one user the ability to purchase one or more products comprises code for providing the at least one user the ability to purchase products in a store.