Determining influence in a social community

• US 9,632,972 B1
• Filed: 05/29/2012
• Issued: 04/25/2017
• Est. Priority Date: 05/31/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Moxley, Emily K., Anupam, Vinod, Sze, Hobart, Suleman, Dani, Nguyen, Khanh B.
• Primary Examiner(s): Lee, Bryan
• Assistant Examiner(s): Gidado, Oluwatosin
• Application Number:
  US13/482,525
• Time in Patent Office: 1,792 Days
• Field of Search: 709204, 709207
• CPC Class Codes: G06F 15/16 Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs coordinating program control therefor G06F9/52; in regulating and control system G05B
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining influence in a social community. In one aspect, a method includes identifying a user in a community; determining an influence score to be associated with the user in the community for a particular topic, including: determining a reach of one or more communications that relate to the particular topic that have been distributed from the user to other users in the community, and evaluating the reach as compared to the reach of one or more communications distributed from other users in the community for the particular topic; and storing the influence score in association with the user.

Claims

1. A method, comprising:

identifying, by one or more processors, a user in a community;

determining, by the one or more processors and for each particular topic of a plurality of topics;

communications that have been distributed from the user to other users in the community and that belong to the particular topic, and wherein the particular topic has only a subset of all communications distributed from the user;

determining, by the one or more processors, a first reach of the communications that relate to the particular topic, wherein the first reach represents a first quantity of users who received the communications;

determining, by the one or more processors, other communications that relate to the particular topic that have been distributed from a first set of users in the community to a second set of users that is different from the first set of users in the community for the particular topic, wherein the first set of users does not include the user;

determining, by the one or more processors, a second reach of the other communications that relate to the particular topic;

determining, by the one or more processors, an influence score to be associated with the user for the particular topic, the determination based on comparing the first reach to the second reach, wherein the second reach represents a second quantity of users who received the other communications;

storing, by the one or more processors, the influence score for the particular topic in association with the user; and

determining, by the one or more processors and based on the influence score associated with the user, that the user is an expert with respect to at least one of the particular topics.

2. The method of claim 1 wherein determining the influence score includes determining a quality of the first reach, and wherein the quality of the first reach is based on one or more of:

demographics of one or more users in the community responsive to the distribution by the user;

a geographic location of the one or more users in the community responsive to the distribution by the user; and

a speed of responsiveness or distribution of the one or more users in community.

3. The method of claim 1 further comprising identifying a predetermined number of most influential users for the particular topic based on a collection of influence scores for the most influential users for the particular topic.

4. The method of claim 1 further comprising:

identifying one or more similar topics to the particular topic; and

associating the influence score of the user for the particular topic with one or more influence scores of the user for similar topics.

5. The method of claim 1 further comprising:

labeling the one or more communications distributed by the user in the community with a topic label that describes a topic associated with the one or more communications; and

evaluating the reach of the one or more communications from the user that have a topic label that is the same as the particular topic.

6. The method of claim 1 wherein the community is a social community.

7. The method of claim 1 wherein the community comprises a plurality of social communities, including one or more of a social network and a micro-blog network.

8. The method of claim 1 wherein a communication of the one or more distributed communications is selected from the group comprising a micro-blog post, a share action, a blog post, a status message, and an update to a previous communication from the user.

9. The method of claim 1 wherein a communication of the one or more distributed communications is selected from the group comprising a preference designation by the user and a positive feedback indicator.

10. The method of claim 1 further comprising determining an average reach associated with more than one of the one or more communications that are distributed by the user and relate to the particular topic.

11. The method of claim 1 where the particular topic includes one or more sub-topics and where determining the influence score of the user for topic includes determining a sub-topic influence score for the user for each of the sub-topics.

12. The method of claim 1, wherein determining a first reach comprises:

determining a first number of one or more other users that engaged with a communication distributed by the user;

determining a second number of one or more other users that did not engage with the communication;

determining the reach based on a function that weighs the first number more than the function weighs the second number.

13. A system, comprising:

one or more computers in data communication;

a memory storage system in data communication with the one or more computers and storing instructions executable by the one or more computers that upon such execution cause the one or more computers to perform operations comprising;

identifying a user in a community;

determining for each particular topic of a plurality of topics;

communications that have been distributed from the user to other users in the community and belong to the particular topic, and wherein the particular topic has only a subset of all communications distributed from the user;

determining a first reach of the communications that relate to the particular topic, wherein the first reach represents a first quantity of users who received the communications;

determining other communications that relate to the particular topic that have been distributed from a first set of users in the community to a second set of users that is different from the first set of users in the community for the particular topic, wherein the first set of users does not include the user;

determining a second reach of the other communications that relate to the particular topic;

determining an influence score to be associated with the user for the particular topic, the determination based on comparing the first reach to the second reach;

wherein the second reach represents a second quantity of users who received the other communications;

storing the influence score for the particular topic in association with the user; and

determining, based on the influence score associated with the user, that the user is an expert with respect to at least one of the particular topics.

14. The system of claim 13, wherein determining a reach comprises:

determining a first number of one or more other users that engaged with a communication distributed by the user;

determining a second number of one or more other users that did not engage with the communication;

determining the reach based on a function that weighs the first number more than the function weighs the second number.

15. The system of claim 13, wherein determining the influence score includes determining a quality of the first reach, and wherein the quality of the first reach is based on one or more of:

demographics of one or more users in the community responsive to the distribution by the user;

a geographic location of the one or more users in the community responsive to the distribution by the user; and

a speed of responsiveness or distribution of the one or more users in the community.

16. The system of claim 13, further comprising:

identifying one or more similar topics to the particular topic; and

associating the influence score of the user for the particular topic with one or more influence scores of the user for similar topics.

17. Software stored in a non-transitory computer readable medium storage device and storing instructions executable by one or more computers that upon such execution cause the one or more computers to perform operations comprising:

identifying a user in a community;

determining for each particular topic of a plurality of topics;

communications that have been distributed from the user to other users in the community and that belong to the particular topic, and wherein the particular topic has only a subset of all communications distributed from the user;

determining a first reach of the communications that relate to the particular topic, wherein the first reach represents a first quantity of users who received the communications;

determining one or more other communications that relate to the particular topic that have been distributed from a first set of users in the community to a second set of users that is different from the first set of users in the community for the particular topic, wherein the first set of users does not include the user;

determining a second reach of the one or more other communications that relate to the particular topic;

determining, by the one or more processors, an influence score to be associated with the user for the particular topic, the determination based on comparing the first reach to the second reach, wherein the second reach represents a second quantity of users who received the other communications;

storing the influence score for the particular topic in association with the user; and

determining, by the one or more processors and based on the influence score associated with the user, that the user is an expert with respect to at least one of the particular topics.

18. The software of claim 17, wherein determining a first reach comprises:

determining a first number of one or more other users that engaged with a communication distributed by the user;

determining a second number of one or more other users that did not engage with the communication;

determining the reach based on a function that weighs the first number more than the function weighs the second number.

19. The software of claim 17, wherein determining the influence score includes determining a quality of the first reach, and wherein the quality of the first reach is based on one or more of:

demographics of one or more users in the community responsive to the distribution by the user;

a geographic location of the one or more users in the community responsive to the distribution by the user; and

a speed of responsiveness or distribution of the one or more users in the community.

20. A method, comprising:

determining, by one or more processors and for each particular topic of a plurality of topics;

a first reach of one or more first communications that have been distributed from a user to other users in a community and that belong to the particular topic that has only a subset of all communications distributed from the user, wherein the first reach represents a first quantity of users who received the communications;

determining, by the one or more processors, other communications that relate to the particular topic that have been distributed from a first set of users in the community to a second set of users that is different from the first set of users in the community for the particular topic, wherein the first set of users does not include the user;

determining, by the one or more processors, a second reach of the other communications that relate to the particular topic, wherein the second reach represents a second quantity of users who received the other communications;

determining, by the one or more processors, an influence score to be associated with the user for the particular topic, the determination based on comparing the first reach to the second reach be associated with the entity for the particular topic;

storing, by the one or more processors, the influence score or the particular topic in association with the entity; and

determining, by the one or more processors and based on the influence score associated with the user, that the user is an expert with respect to at least one of the particular topic.

21. The method of claim 20 wherein determining the influence score includes determining a quality of the first reach, and wherein the quality of the first reach is based on one or more of:

demographics of one or more users in the community responsive to the distribution by the user;

a speed of responsiveness or distribution of the one or more users in the community in response to the first communication.

22. The method of claim 20, wherein determining a first reach comprises:

determining a first number of one or more other users that engaged with the first communication;

determining a second number of one or more other users that did not engage with the first communication;

determining the reach based on a function that weighs the first number more than the function weighs the second number.