Method and apparatus for determining a group preference in a social network

• US 8,620,996 B2
• Filed: 11/19/2007
• Issued: 12/31/2013
• Est. Priority Date: 11/19/2007
• Status: Expired due to Fees

• Current Assignee: Google Technology Holdings LLC (Alphabet Inc.)
• Original Assignee: Motorola Mobility LLC (Lenovo Group Ltd.)
• Inventors: Athale, Anant, Krahenbuhl, John, Tirpak, Thomas Michael
• Primary Examiner(s): SERRAO, RANODHI N
• Application Number:
  US11/942,537
• Publication Number:
  US 20090132652A1
• Time in Patent Office: 2,234 Days
• Field of Search: 709/203, 709/204, 705/9
• US Class Current: 709/203
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: H04H 20/10 Arrangements for replacing or switching information during the broadcast or the distribution
• CPC Class Codes: H04H 20/103 Transmitter-side switching
• CPC Class Codes: H04H 60/06 Arrangements for scheduling broadcast services or broadcast-related services
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04L 12/1859 adapted to provide push services, e.g. data channels
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04N 21/4661 Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home user profiles in network data switching protocols H04L67/306

Abstract

A method (100) of electronically determining a group preference in a social network from multiple individual preferences of members of the social network is provided. One embodiment of the method (100) uses a combination of an individual'"'"'s importance to a social network and a social network'"'"'s importance to the individual as weighting factors when combining the individual preferences to generate a shared set of preferences. This group preference may be used to select content for broadcast to the network, including audio content and video content. A social network group preference determination apparatus (401) can determine the individual'"'"'s importance to the social network by interrogating or monitoring the communication activity of portable electronic communication devices (402) belonging to the members of the social network.

Claims

1. A method of electronically determining a group preference in a social network from a plurality of individual preferences of members of the social network, the method comprising:

determining when a portable electronic communication device is in communication with the social network;

obtaining individual preferences from the members, wherein at least some of the individual preferences are different;

determining an importance of the social network to at least one individual based upon social network importance information;

determining, with one or more processors and stored program instructions configured to control the processors, an individual importance for a plurality of the members to the social network from a plurality of importance factors, the importance factors comprising at least a geographic location of a member relative to the social network and an ability of the member to contribute information to, or access information from, the network communication channels; and

generating, with the one or more processors, the group preference from weighted individual preferences.

2. The method of claim 1, further comprising:

determining a network importance of the social network to each of the members; and

weighting each of the individual preferences with a corresponding network importance.

3. The method of claim 2, further comprising selecting and broadcasting content based upon the group preference.

4. The method of claim 3, wherein the content is one of video content, audio content, sensory content, or combinations thereof.

5. The method of claim 2, wherein the determining the individual preferences comprises interrogating a plurality of electronic devices belonging to the members of the social network to obtain the individual preferences.

6. The method of claim 1, wherein the determining the individual importance comprises one of:

determining a betweenness of one or more members to other members of the social network;

determining a closeness of the one or more members to the other members;

determining a centrality degree of the one or more members relative to the other members;

determining a flow betweenness centrality between the one or more members with the other members;

determining an eigenvector centrality of the one or more members relative to the other members;

determining a centralization of the one or more members;

determining a clustering coefficient of the one or more members;

determining a cohesion of the one or more members with the other members;

determining a density corresponding to the one or more members relative to the social network;

determining a path length of the one or more members with the other members;

determining a radiality corresponding to the one or more members relative to the social network;

determining a reach of the one or more members to the other members;

determining a structural cohesion of the one or more members with the other members;

determining a structural equivalence of the one or more members with the other members;

determining structural or static holes in the social network;

or

combinations thereof.

7. The method of claim 1, wherein the determining the individual importance comprises retrieving predetermined importance data from a memory to determine each member'"'"'s individual importance.

8. The method of claim 1, further comprising determining a relative network importance of the social network to other social networks and weighting each of the weighted individual preferences with the relative network importance.

9. The method of claim 1,

the social network importance information stored in a memory of the portable electronic communication device.

10. The method of claim 1, wherein the each individual preference comprises one of musical content preferences or video content preferences.

11. The method of claim 1, further comprising determining an importance of the social network to one or more members of the social network by one of electronically interrogating portable electronic communication devices or by referencing predetermined social network importance data corresponding to the one or more members of the social network;

further comprising weighting the each of the individual preferences with the importance of the social network to the one or more members of the social network.

12. The method of claim 1, further comprising receiving weighted preferences and determining a group content selection from the weighted preferences.

13. The method of claim 1, further comprising broadcasting the group content selection to the social network.

14. The method of claim 1, further comprising determining a relative importance of the social network to other social networks.

15. The method of claim 1, further comprising monitoring communication activity and message paths of the members within the social network to determine the plurality of importance factors for each member.

16. The method of claim 15, further comprising weighting, with the one or more processors, each of the individual preferences with a corresponding individual importance.