SOCIAL NETWORK ANALYSIS

• US 20070260599A1
• Filed: 03/15/2007
• Published: 11/08/2007
• Est. Priority Date: 09/15/2004
• Status: Abandoned Application

• Current Assignee: 3degrees LLC
• Original Assignee: 3degrees LLC
• Inventors: Smith, Brian, Kionga-Kamau, Peter, McGuire, Heather, Markus, Michael
• Application Number:
  US11/686,401
• Publication Number:
  US 20070260599A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

This invention is generally directed to one or more systems or methods relating to social network analysis. More specifically, this invention is generally directed to one or more systems or methods relating to personal communication networks and the analysis of personal-communication-network data.

Claims

1. A method of conducting a search of a personal communication network of professionals for information related to a professional topic specified by a search term, the method comprising the steps of:

indicating the search term that specifies the professional topic;

selecting a parameter to identify an anchor database of the personal communication network of professionals that is likely to have information relevant to the search term;

identifying the anchor database based on the selected parameter;

performing a search of the identified anchor database and databases related to the anchor database; and

displaying search results to a searcher.

2. The method of claim 1, further comprising the steps of:

determining whether the search was successful in retrieving relevant information; and

if the search was not successful in retrieving relevant information, then initiating a broadcast search.

3. The method of claim 1, further comprising the steps of:

performing a broadcast search for the search term; and

displaying results of the broadcast search along with the search results.

4. The method of claim 1, wherein the search method uses either a similarity correlation, historical data, or a combination of both to identify databases related to the anchor database.

5. The method of claim 1, wherein the professional topic is medical or legal.

6. A method for searching a collection of linked databases in a personal communication network, the method comprising the steps of:

providing a search term;

selecting a parameter to identify databases of the personal communication network that are likely to have information relevant to the search term;

performing a search of the collection of linked databases; and

presenting results of the search to the searcher;

wherein the step of performing a search includes;

identifying databases based on the selected parameter; and

searching the identified databases for information relevant to the search term.

7. The method of claim 6, wherein the selected parameter indicates a degree of knowledge or awareness by a member of the personal communication network about information relevant to the search topic.

8. The method of claim 6, wherein the selected parameter indicates a searcher'"'"'s degree of trust regarding a member of the personal communication network.

9. The method of claim 8, wherein the selected parameter indicates a first degree contact of a party performing the search.

10. The method of claim 6, wherein the step of selecting a parameter to identify databases includes selecting an anchor database.

11. The method of claim 6, further comprising the step of:

identifying a shortest path between a searcher and a database that possesses relevant information to the search term.

12. The method of claim 6, wherein in the step of identifying, a similarity correlation is used to evaluate the similarity of a first database to a second database and thereby identify databases that are likely to have information relevant to the search term.

13. The method of claim 10, wherein the step of identifying databases based on the selected parameter includes using a similarity correlation to evaluate the similarity of a selected anchor database to a second database.

14. The method of claim 6, wherein the selected parameter includes historical search data.

15. The method of claim 12, wherein historical data is used in combination with the similarity correlation to identify databases that are likely to have information relevant to the search term.

16. The method of claim 6, wherein at least a portion of the personal communication network has the form:

wherein D_X is a personal communication-network node to which at least one other personal communication-network database is linked;

wherein each D represents a personal communication-network database;

wherein each “

-”

represents a link between two personal communication-network databases; and

wherein “

a”

is an integer greater than or equal to 1.

17. The method of claim 6, wherein at least a portion of the personal communication network has the form:

wherein D_X is a personal communication-network database to which at least one other personal communication-network database is linked;

wherein each D represents a personal communication-network database;

wherein each “

-”

represents a link between two personal communication-network databases;

wherein “

a”

is an integer greater than or equal to 1;

wherein “

b”

is an integer greater than or equal to 0;

wherein the value of at least one “

b”

is greater than or equal to 1; and

wherein the value of each “

b”

is independently selected.

18. The method of claim 14, wherein the historical data includes previously identified anchor databases from previously performed searches on a particular topic.

19. The method of claim 6, further comprising the steps of:

determining whether the search was successful in retrieving relevant information; and

if the search was not successful in retrieving relevant information, then initiating a broadcast search.

20. The method of claim 6, wherein in the step of displaying the search results, the results are displayed showing databases that are linked to an anchor database or to a person that initiated the search.

21. The method of claim 20, further comprising the step of displaying how the anchor database or the person that initiated the search is linked to databases containing the search term

22. The method of claim 6, wherein the search is limited to databases identified as an anchor database and databases that are a selected number of links away from the anchor database.

23. A system for searching a collection of linked databases in a personal communication network comprising:

means for providing a search term;

means for selecting a parameter to identify databases of the personal communication network that are likely to have information relevant to the search term;

means for performing a search of a collection of linked databases based on the selected parameter and the search term; and

means for presenting search results to a searcher.

24. The system of claim 23, wherein the means for selecting a parameter to identify databases includes means for selecting an anchor database.

25. The system of claim 23, further comprising a means for using historical data in combination with the similarity correlation in performing the search.

26. The system of claim 23, further comprising means for determining the shortest path between a first database and a second database that has been identified by the search.

27. The system of claim 26, wherein the first database is a selected anchor database.

28. The system of claim 23, wherein the information relevant to the search term includes knowledge of a person who is likely to have information relevant to the search term.