METHODS FOR RECOMMENDING NEW INDIVIDUALS TO BE INVITED INTO A CONFIRMED SOCIAL NETWORK BASED ON MINED SOCIAL DATA

• US 20100174747A1
• Filed: 01/06/2009
• Published: 07/08/2010
• Est. Priority Date: 01/06/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Ur, Sigalit, Farrell, Stephen P., Ronen, Inbal, Guy, Ido, Wilcox, Eric
• Application Number:
  US12/349,025
• Publication Number:
  US 20100174747A1
• Time in Patent Office: Days
• US Class Current: 707/776
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A computer-implemented method that inputs a confirmed social network of a user, performs data mining of electronically accessible data for the user to produce a mined social network including individuals having a social relationship with the user and having an electronically accessible link to the user, subtracts the confirmed social network of the user from the mined social network to produce a recommendation list, in which the recommendation list includes at least one new individual not belonging to the confirmed social network of the use, and in which the recommendation list recommends the at least one new individual not belonging to the confirmed social network for membership in the confirmed social network, and outputs the recommendation list to the user.

Claims

1. A computer-implemented method, comprising:

inputting a confirmed social network of a first user, said confirmed social network comprising said first user and a plurality of second users, said plurality of second users having confirmed connections to said confirmed social network;

performing data mining of electronic accessible data, said data mining producing a mined social network comprising individuals having a social relationship with said first user and having an electronic link accessible to said first user;

subtracting said confirmed social network of said first user from said mined social network to produce a recommendation list, said recommendation list comprising at least one new individual not belonging to said confirmed social network, and said recommendation list recommending said at least one new individual for membership in said confirmed social network; and

outputting said recommendation list to said first user.

2. The computer-implemented method of claim 1, further comprising:

calculating an aggregate weight comprising at least one weight based on a type of social relationship and an amount of evidence pertaining to said type of social relationship between said first user and a member of said recommendation list; and

ordering said recommendation list according to said aggregate weight of each member of said recommendation list.

3. The computer-implemented method of claim 2, wherein said outputting of said recommendation list comprises displaying said type of social relationship and said amount of evidence pertaining to said type of social relationship, between said first user and said member of said recommendation list.

4. The computer-implemented method of claim 1, further comprising:

monitoring said electronically accessible data for a new social relationship between said first user and a new individual not belonging to said confirmed social network of said first user; and

dynamically updating said recommendation list to include said new individual having said new social relationship with said first user, when said mined social network reveals said new social relationship.

5. The computer-implemented method of claim 2, further comprising:

monitoring said mined social network for a new type of social relationship and for a new amount of evidence pertaining to an existing type of social relationship for each member of said recommendation list; and

dynamically updating aggregate weights of said recommendation list when said mined social network reveals said new type of relationship or a new amount of evidence pertaining to an existing type of relationship of a member of said recommendation list.

6. A computer-implemented method, comprising:

inputting a confirmed social network of a first user, said confirmed social network comprising said first user and a plurality of second users, said plurality of second users having confirmed connections to said confirmed social network;

performing data mining of electronically accessible data, said data mining producing a mined social network comprising individuals having a social relationship with said first user and having an electronic link accessible to said first user;

subtracting said confirmed social network of said first user from said mined social network to produce a recommendation list, said recommendation list comprising at least one new individual not belonging to said confirmed social network, and said recommendation list recommending said at least one new individual for membership in said confirmed social network;

outputting said recommendation list to said first user; and

upon said first user reviewing said recommendation list, said computer-implemented method further comprising one of;

if said first user electronically links to and invites said at least one new individual into said confirmed social network and said at least one new individual confirms connection to said confirmed social network, then said method further comprises adding said at least one new individual to said confirmed social network and removing said at least one new individual from said recommendation list; and

if said first user does not electronically link to or invite said at least one new individual into said confirmed social network, then said method further comprises either maintaining said at least one new individual on said recommendation list for subsequent review or removing said at least one new individual from said recommendation list.

7. The computer-implemented method of claim 6, further comprising:

calculating an aggregate weight comprising at least one weight based on a type of social relationship and an amount of evidence pertaining to said type of social relationship between said first user and a member of said recommendation list; and

ordering said recommendation list according to said aggregate weight of each member of said recommendation list.

8. The computer-implemented method of claim 7, wherein said outputting of said recommendation list comprises displaying said type of social relationship and said amount of evidence pertaining to said type of social relationship, between said first user and said member of said recommendation list.

9. The computer-implemented method of claim 6, further comprising:

monitoring said electronically accessible data for a new social relationship between said first user and a new individual not belonging to said confirmed social network of said first user; and

dynamically updating said recommendation list to include said new individual having said new social relationship with said first user, when said mined social network reveals said new social relationship.

10. The computer-implemented method of claim 7, further comprising:

monitoring said mined social network for a new type of social relationship and for a new amount of evidence pertaining to an existing type of social relationship for each member of said recommendation list; and

dynamically updating aggregate weights of said recommendation list when said mined social network reveals said new type of relationship or a new amount of evidence pertaining to an existing type of relationship of a member of said recommendation list.

11. A computer-implemented method, comprising:

inputting a confirmed social network of a first user, said confirmed social network comprising said first user and a plurality of second users, said plurality of second users having confirmed connections to said confirmed social network;

performing data mining of electronically accessible data, said data mining producing a mined social network comprising individuals having a social relationship with said first user and having an electronic link accessible to said first user;

calculating an aggregate weight comprising at least one weight based on a type of social relationship and an amount of evidence pertaining to said type of social relationship between said first user and a member of said mined social network,

wherein said type of social relationship includes at least one of common demographics of said first user and said member of said recommendation list, co-authorship of documents, commenting to each other on blogging systems, membership in the same organizations, common connections in other social networks, tagging in people tagging systems, co-bookmarking of the same documents, and common interests, and

wherein a weight of a specific type of social relationship and an amount of evidence, pertaining to said specific type of social relationship, comprises a predetermined value, based on said specific type of social relationship and said amount of evidence pertaining to said specific type of social relationship;

subtracting said confirmed social network of said first user from said mined social network to produce a recommendation list, said recommendation list comprising at least one new individual not belonging to said confirmed social network, and said recommendation list recommending said at least one new individual for membership in said confirmed social network;

ordering said recommendation list according to said aggregate weight of each member of said recommendation list; and

outputting said recommendation list to said first user.

12. The computer-implemented method of claim 11, further comprising:

monitoring said electronically accessible data for a new social relationship between said first user and a new individual not belonging to said confirmed social network of said first user; and

dynamically updating said recommendation list to include said new individual having said new social relationship with said first user, when said mined social network reveals said new social relationship.

13. The computer-implemented method of claim 11, further comprising:

monitoring said mined social network for a new type of social relationship and for a new amount of evidence pertaining to an existing type of social relationship for each member of said recommendation list; and

dynamically updating aggregate weights of said recommendation list when said mined social network reveals said new type of relationship or a new amount of evidence pertaining to an existing type of relationship of a member of said recommendation list.

14. The computer-implemented method of claim 11, wherein upon said first user reviewing said recommendation list, said computer-implemented method further comprises one of:

if said first user electronically links to and invites said at least one new individual into said confirmed social network and said at least one new individual confirms connection to said confirmed social network, then adding said at least one new individual to said confirmed social network and removing said at least one new individual from said recommendation list; and

if said first user does not electronically link to or invite said at least one new individual into said confirmed social network, then either maintaining said at least one new individual on said recommendation list for subsequent review or removing said at least one new individual from said recommendation list.

15. A computer program storage device readable by computer, tangibly embodying a program of instructions executable by said machine to perform a computer-implemented method comprising:

inputting a confirmed social network of a first user, said confirmed social network comprising said first user and a plurality of second users, said plurality of second users having confirmed connections to said confirmed social network;

performing data mining of electronically accessible data, said data mining producing a mined social network comprising individuals having a social relationship with said first user and having an electronic link accessible to said first user;

subtracting said confirmed social network of said first user from said mined social network to produce a recommendation list, said recommendation list comprising at least one new individual not belonging to said confirmed social network, and said recommendation list recommending said at least one new individual for membership in said confirmed social network; and

outputting said recommendation list to said first user.

16. The computer program storage device of claim 15, said computer-implemented method further comprising:

calculating an aggregate weight comprising at least one weight based on a type of social relationship and an amount of evidence pertaining to said type of social relationship between said first user and a member of said recommendation list; and

ordering said recommendation list according to said aggregate weight of each member of said recommendation list.

17. The computer program storage device of claim 16, wherein said outputting of said recommendation list comprises displaying said type of social relationship and said amount of evidence pertaining to said type of social relationship, between said first user and said member of said recommendation list.

18. The computer program storage device of claim 15, said computer-implemented method further comprising:

monitoring said electronically accessible data for a new social relationship between said first user and a new individual not belonging to said confirmed social network of said first user; and

dynamically updating said recommendation list to include said new individual having said new social relationship with said first user, when said mined social network reveals said new social relationship.

19. The computer program storage device of claim 16, said computer-implemented method further comprising:

monitoring said mined social network for a new type of social relationship and for a new amount of evidence pertaining to an existing type of social relationship for each member of said recommendation list; and

dynamically updating aggregate weights of said recommendation list when said mined social network reveals said new type of relationship or a new amount of evidence pertaining to an existing type of relationship of a member of said recommendation list.

20. The computer program storage device of claim 15, wherein upon said first user reviewing said recommendation list, said computer-implemented method further comprises one of:

if said first user electronically links to and invites said at least one new individual into said confirmed social network and said at least new individual confirms connection to said confirmed social network, then said method further comprises adding said at least one new individual to said confirmed social network and removing said at least one new individual from said recommendation list; and

if said first user does not electronically link to or invite said at least one new individual into said confirmed social network, then either maintaining said at least one new individual on said recommendation list for subsequent review or removing said at least one new individual from said recommendation list.