Social Net Advocacy Measure

• US 20120209918A1
• Filed: 02/15/2011
• Published: 08/16/2012
• Est. Priority Date: 02/15/2011
• Status: Abandoned Application

• Current Assignee: Dell Products LP (Dell Technologies Inc.)
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Shah, Shesha, Narang, Rajiv
• Application Number:
  US13/027,682
• Publication Number:
  US 20120209918A1
• Time in Patent Office: Days
• US Class Current: 709/205
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

A method and system are disclosed for monitoring user interactions and generating proactive responses thereto within a social media environment. Social media interactions are monitored, collected, and processed to generate a social network advocacy metric. The resulting metric is used as an indicator of the affect of the user interactions within a target social media environment and the effectiveness of corresponding proactive responses.

Claims

1. A computer-implementable method for monitoring user interactions and generating proactive responses thereto within a social media environment comprising:

performing conversation monitoring operations within a social media environment to detect an individual conversation of a plurality of conversations comprising a target subject;

collecting conversation data elements associated with the individual conversation; and

processing the conversation data elements to generate a social network advocacy metric associated with the individual conversation.

2. The method of claim 1, wherein the processing uses a domain influence value, a gravity value, a reach value, and a relevance value associated with the conversation data elements to generate the social network advocacy metric.

3. The method of claim 2, wherein the conversation data elements comprise a plurality of user-generated content contributions.

4. The method of claim 3, wherein individual user-generated content contributions of the plurality of user-generated contributions have a predetermined weighting value.

5. The method of claim 4, wherein data associated with the individual user-generated content contributions is processed using the predetermined weighting values to generate the domain influence value.

6. The method of claim 5, wherein the domain influence value is associated with an individual user that generated a subset of the individual user-generated content contributions.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a computer-usable medium embodying computer program code, the computer-usable medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for;

performing conversation monitoring operations within a social media environment to detect an individual conversation of a plurality of conversations comprising a target subject;

collecting conversation data elements associated with the individual conversation; and

processing the conversation data elements to generate a social network advocacy metric associated with the individual conversation.

8. The system of claim 7, wherein the processing uses a domain influence value, a gravity value, a reach value, and a relevance value associated with the conversation data elements to generate the social network advocacy metric.

9. The system of claim 8, wherein the conversation data elements comprise a plurality of user-generated content contributions.

10. The system of claim 9, wherein individual user-generated content contributions of the plurality of user-generated contributions have a predetermined weighting value.

11. The system of claim 10, wherein data associated with the individual user-generated content contributions is processed using the predetermined weighting values to generate the domain influence value.

12. The system of claim 11, wherein the domain influence value is associated with an individual user that generated a subset of the individual user-generated content contributions.

13. A computer-usable medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

performing conversation monitoring operations within a social media environment to detect an individual conversation of a plurality of conversations comprising a target subject;

collecting conversation data elements associated with the individual conversation; and

processing the conversation data elements to generate a social network advocacy metric associated with the individual conversation.

14. The computer usable medium of claim 13, wherein the processing uses a domain influence value, a gravity value, a reach value, and a relevance value associated with the conversation data elements to generate the social network advocacy metric.

15. The computer usable medium of claim 14, wherein the conversation data elements comprise a plurality of user-generated content contributions.

16. The computer usable medium of claim 15, wherein individual user-generated content contributions of the plurality of user-generated contributions have a predetermined weighting value.

17. The computer usable medium of claim 16, wherein data associated with the individual user-generated content contributions is processed using the predetermined weighting values to generate the domain influence value.

18. The computer usable medium of claim 17, wherein the domain influence value is associated with an individual user that generated a subset of the individual user-generated content contributions.

19. The computer usable medium of claim 13, wherein the computer executable instructions are deployable to a client computer from a server at a remote location.

20. The computer usable medium of claim 13, wherein the computer executable instructions are provided by a service provider to a customer on an on-demand basis.