IP Library Granted Patent US 7,720,777
Granted Patent B2
US 7,720,777 · App. 11/402,568 · Granted May 18, 2010

Method, device, and program product to monitor the social health of a persistent virtual environment

Assignee: Palo Alto Research Center Incorporated
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Quick Facts
Patent No.
US 7,720,777
App. No.
11/402,568
Granted
May 18, 2010
Kind
B2
Abstract

Device, method, and computer program product for monitoring the social health of a persistent virtual environment. The disclosed technology monitors social interactions between subscribers of on-line entities who have interactions related to the persistent virtual environment.

Claims (49)

1. A computer controlled method comprising:

acquiring social interaction information, from a social interaction between two or more on-line entities that participate in a persistent virtual environment, without requiring an input from a user of the persistent virtual environment;

analyzing said social interaction information to determine a metric that represents a social aspect of said persistent virtual environment, wherein the determined metric includes a predictive metric that predicts a future trend on the persistent virtual environment; and

presenting a visualization responsive to said metric.

2. The computer controlled method of claim 1 , wherein said metric is a status metric that characterizes behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

3. The computer controlled method of claim 2 , wherein said status metric is selected from one or more of the group consisting of a prominence metric, a centrality degree metric, a cohesive subgroup metric, a group level equivalence metric, a leadership metric, a strength of ties metric, an interactivity metric, a topic of interaction metric, a role metric, a social accounting metric, a game-play metric, a modeling metric, and an interaction topic metric.

4. The computer controlled method of claim 1 , wherein said predictive metric is selected from one or more of the group consisting of a churn metric, a compatibility metric, a scheduling metric, a content consumption metric, an environmental balance metric, a survival metric, and an economic metric.

5. The computer controlled method of claim 1 , wherein said predictive metric is computed responsive to a time series and at least one status metric, and wherein said at least one status metric characterizes behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

6. The computer controlled method of claim 1 , further comprising storing a snapshot of said metric.

7. The computer controlled method of claim 6 , wherein presenting said visualization further comprises aggregating said snapshot with a second snapshot.

8. The computer controlled method of claim 6 , wherein presenting said visualization further comprises determining a change in said metric from said snapshot to a second snapshot.

9. The computer controlled method of claim 1 , wherein said social interaction information comprises one or more of a group consisting of time information, on-line entity identification information, communication content information, communication type information, communication source information, and audience identification information.

10. The computer controlled method of claim 1 , wherein presenting said visualization further comprises presenting an alert indication.

11. The computer controlled method of claim 1 , wherein said visualization indicates an overall interactivity level of said plurality of on-line entities within said persistent virtual environment.

12. The computer controlled method of claim 1 , wherein said visualization represents behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

13. The computer controlled method of claim 1 , wherein said persistent virtual environment has one or more characteristics of a group consisting of a multiplayer online game, a virtual office, a virtual resort, a social online world, a online learning system, a virtual classroom, an online training system, an online collaborative interaction space, and a virtual representation of a real world attraction.

14. An apparatus having a processing unit and a memory coupled to said processing unit comprising:

a data acquisition logic configured to acquire social interaction information, from a social interaction between two or more on-line entities that participate in a persistent virtual environment, without requiring an input from a user of the persistent virtual environment;

an analysis logic configured to analyze said social interaction information acquired from the data acquisition logic to determine a metric that represents a social aspect of said persistent virtual environment, wherein the determined metric includes a predictive metric that predicts a future trend on the persistent virtual environment; and

a presentation logic configured to present a visualization responsive to said metric.

15. The apparatus of claim 14 , wherein said metric is a status metric that characterizes behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

16. The apparatus of claim 15 , wherein said status metric is selected from one or more of the group consisting of a prominence metric, a centrality degree metric, a cohesive subgroup metric, a group level equivalence metric, a leadership metric, a strength of ties metric, an interactivity metric, a topic of interaction metric, a role metric, a social accounting metric, a game-play metric, a modeling metric, and an interaction topic metric.

17. The apparatus of claim 14 , wherein said predictive metric is selected from one or more of the group consisting of a churn metric, a compatibility metric, a scheduling metric, a content consumption metric, an environmental balance metric, a survival metric, and an economic metric.

18. The apparatus claim 14 , wherein said predictive metric is computed responsive to a time series and at least one status metric, and wherein said at least one status metric characterizes behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

19. The apparatus of claim 14 , further comprising storage logic configured to store a snapshot of said metric.

20. The apparatus of claim 19 , wherein the presentation logic further comprises an aggregation logic configured to aggregate said snapshot with a second snapshot.

21. The apparatus of claim 19 , wherein the presentation logic further comprises a difference logic configured to determine a change in said metric from said snapshot to a second snapshot.

22. The apparatus of claim 14 , wherein said social interaction information comprises one or more of a group consisting of time information, on-line entity identification information, communication content information, communication type information, communication source information, and audience identification information.

23. The apparatus of claim 14 , wherein the presentation logic further comprises an alert logic configured to present an alert indication.

24. The apparatus of claim 14 , wherein said visualization indicates an overall interactivity level of said plurality of on-line entities within said persistent virtual environment.

25. The apparatus of claim 14 , wherein said visualization represents behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

26. The apparatus of claim 14 , wherein said persistent virtual environment has one or more characteristics of a group consisting of a multiplayer online game, a virtual office, a virtual resort, a social online world, a online learning system, a virtual classroom, an online training system, an online collaborative interaction space, and a virtual representation of a real world attraction.

27. A computer program product comprising:

a computer-usable data carrier providing instructions that, when executed by a computer, cause said computer to perform a method comprising:

acquiring social interaction information, from a social interaction between two or more on-line entities that participate in a persistent virtual environment, without requiring an input from a user of the persistent virtual environment;

analyzing said social interaction information to determine a metric that represents a social aspect of said persistent virtual environment, wherein the determined metric includes a predictive metric that predicts a future trend on the persistent virtual environment; and

presenting a visualization responsive to said metric.

28. The computer program product of claim 27 , wherein said metric is a status metric that characterizes behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

29. The computer program product of claim 28 , wherein said status metric is selected from one or more of the group consisting of a prominence metric, a centrality degree metric, a cohesive subgroup metric, a group level equivalence metric, a leadership metric, a strength of ties metric, an interactivity metric, a topic of interaction metric, a role metric, a social accounting metric, a game-play metric, a modeling metric, and an interaction topic metric.

30. The computer program product of claim 27 , wherein said predictive metric is selected from one or more of the group consisting of a churn metric, a compatibility metric, a scheduling metric, a content consumption metric, an environmental balance metric, a survival metric, and an economic metric.

31. The computer program product of claim 27 , wherein said predictive metric is computed responsive to a time series and at least one status metric, and wherein said at least one status metric characterizes behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

32. The computer program product of claim 27 , further comprising storing a snapshot of said metric.

33. The computer program product of claim 32 , wherein presenting said visualization further comprises aggregating said snapshot with a second snapshot.

34. The computer program product of claim 32 , wherein presenting said visualization further comprises determining a change in said metric from said snapshot to a second snapshot.

35. The computer program product of claim 27 , wherein said social interaction information comprises one or more of a group consisting of time information, on-line entity identification information, communication content information, communication type information, communication source information, and audience identification information.

36. The computer program product of claim 27 , wherein presenting said visualization further comprises presenting an alert indication.

37. The computer program product of claim 27 , wherein said visualization indicates an overall interactivity level of said plurality of on-line entities within said persistent virtual environment.

38. The computer program product of claim 27 , wherein said visualization represents behavioral information of one or more of said plurality of on-line entities, said behavioral information related to at least one activity of said one or more of said plurality of on-line entities within said persistent virtual environment.

39. The computer program product of claim 27 , wherein said persistent virtual environment has one or more characteristics of a group consisting of a multiplayer online game, a virtual office, a virtual resort, a social online world, a online learning system, a virtual classroom, an online training system, an online collaborative interaction space, and a virtual representation of a real world attraction.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2018
From: III HOLDINGS 6, LLC
To: CORRINO HOLDINGS LLC
Reel/Frame 046999/0846 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 28, 2015
From: PALO ALTO RESEARCH CENTER INCORPORATED
To: III HOLDINGS 6, LLC
Reel/Frame 036198/0543 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2006
From: DUCHENEAUT, NICOLAS B.; MOORE, ROBERT J.; NICKELL, ERIC S.
To: PALO ALTO RESEARCH CENTER INCORPORATED
Reel/Frame 017791/0375 →
Continuity (1)
Related Publication 20070240119A1 · Oct 11, 2007