Adaptive Social Network Management

• US 20090144075A1
• Filed: 12/28/2008
• Published: 06/04/2009
• Est. Priority Date: 11/04/2004
• Status: Abandoned Application

• Current Assignee: World Assets Consulting AG LLC (Intellectual Ventures LLC)
• Original Assignee: Manyworlds Incorporated
• Inventors: Flinn, Steven Dennis, Moneypenny, Naomi Felina
• Application Number:
  US12/344,537
• Publication Number:
  US 20090144075A1
• Time in Patent Office: Days
• US Class Current: 705/318
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 20/10 using kernel methods, e.g. support vector machines [SVM]
• CPC Class Codes: G06N 3/126 Evolutionary algorithms, e.g. genetic algorithms or genetic programming
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06N 7/02 using fuzzy logic computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00
• CPC Class Codes: G06N 7/023 Learning or tuning the parameters of a fuzzy system
• CPC Class Codes: G06Q 30/0185 Product, service or business identity fraud

Abstract

A computer-implemented system and method of adaptive social network management is disclosed. The social networks comprise a network of computer-implemented objects representing people and may include content that has a relation to one or more of the people. The adaptive social network management system provides functions to generate social network metrics associated with people that are determined derivatively from interactions with objects that have a relationship with the corresponding people. The adaptive social network management system can also generate affinities among computer-implemented objects that represent people from inferences of the interests of the people. Social network representations are generated and applied that include the social network metrics and/or affinities.

Claims

1. A social network management system, comprising:

a computer-implemented structural aspect comprising a network of objects and relationships among the objects wherein a plurality of the objects each comprise information representational of a person;

a usage aspect comprising a plurality of usage behaviors of one or more users associated with the network of objects; and

a function to generate a metric associated with a person represented as an object in the network of objects derivatively from a plurality of usage behaviors in the usage aspect associated with at least one object in the network of objects that has a relationship to the said person.

2. The system of claim 1, further comprising:

a metric generating function wherein the metric generated assesses popularity.

3. The system of claim 1, further comprising:

a metric generating function wherein the metric generated assesses influence.

4. The system of claim 1, further comprising:

a metric generating function wherein the metric associated with a person represented as an object is derived, at least in part, from usage behaviors associated with an object for which the said person is the author.

5. The system of claim 1, further comprising:

a metric generating function wherein the metric associated with a person represented as an object is derived, at least in part, from usage behaviors associated with an object for which the said person is the publisher.

6. The system of claim 1, further comprising:

a metric generating function wherein the metric associated with a person represented as an object is derived, at least in part, from usage behaviors associated with an object comprising representational information associated with a second person.

7. The system of claim 1, further comprising:

a metric generating function wherein the metric associated with a person represented as an object is derived, at least in part, from usage behaviors associated with an object for which the said person has an inferred affinity.

8. A social network management method, comprising:

accessing a computer-implemented structural aspect comprising a network of objects and relationships among the objects wherein a plurality of the objects each comprise information representational of a person;

accessing a usage aspect comprising a plurality of usage behaviors of one or more users associated with the network of objects; and

generating a metric associated with a person represented as an object in the network of objects derivatively from a plurality of usage behaviors in the usage aspect associated with at least one object in the network of objects that has a relationship to the said person.

9. The method of claim 8, further comprising:

generating a metric assessing popularity.

10. The method of claim 8, further comprising:

generating a metric assessing influence.

11. The method of claim 8, further comprising:

generating a metric derived, at least in part, from usage behaviors associated with an object for which the said person is the author.

12. The method of claim 8, further comprising:

generating a metric derived, at least in part, from usage behaviors associated with an object for which the said person is the publisher.

13. The method of claim 8, further comprising:

generating a metric derived, at least in part, from usage behaviors associated with an object comprising representational information associated with a second person.

14. The method of claim 8, further comprising:

generating a metric derived, at least in part, from usage behaviors associated with an object for which the said person has an inferred affinity.

15. A social network method comprising:

interacting with a computer-implemented structural aspect comprising a plurality of objects;

contributing behaviors to a usage aspect, the usage aspect comprising a plurality of captured usage behaviors that are associated with a plurality of users interacting with the structural aspect; and

accessing a social network representation, wherein the social network representation comprises a plurality of users represented as objects and at least one affinity between a representation of a first user as an object and a representation of a second user as an object, wherein the affinity is based, at least in part, on an inference of interests derived from the plurality of captured usage behaviors associated with the plurality of users.

16. The method of claim 15, the usage aspect further comprising a plurality of usage behaviors, wherein each usage behavior is associated with either a user, one or more user communities, or a user and one or more user communities simultaneously, wherein the user comprises a single-member subset of the one or more users and a community of the one or more user communities comprises a multiple-member subset of the one or more users.

17. The method of claim 15, further comprising a privacy control, the privacy control enabling a user to restrict usage behaviors associated with the user from being deemed non-private behaviors.

18. The method of claim 15, further comprising:

applying usage behavior categories, wherein the usage behavior categories are selected from a group consisting of navigation and access patterns, collaborative patterns, direct feedback patterns, subscription patterns, self-profiling patterns, reference patterns, and physical location patterns.

19. The method of claim 15, further comprising:

receiving the social network representation on a computer-based system.

20. The method of claim 15, further comprising:

receiving a metric associated with the social network representation on a computer-based system.