Systems and methods for interactive presentation and analysis of social media content collection over social networks

• US 20130297694A1
• Filed: 03/29/2013
• Published: 11/07/2013
• Est. Priority Date: 12/01/2009
• Status: Abandoned Application

• Current Assignee: Apple Inc.
• Original Assignee: Topsy Labs, Inc (Apple Inc.)
• Inventors: Ghosh, Rishab Aiyer
• Application Number:
  US13/853,662
• Publication Number:
  US 20130297694A1
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: G06F 16/34 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

A new approach is proposed that contemplates systems and methods to provide a comprehensive platform that enables a user to interactively measure, display, and analyze various characteristics of the social content items collected over a social media network in real time. The top content items, such as posts, links, photos, and videos that contains a set of query terms and are currently trending (mentioned frequently) or trending over a period of time are identified via various measurements and presented to a user. The user is then enabled to selectively and interactively view and analyze the content items presented based on the various metrics that unique to social media content items, such as the mentions (e.g., retweets) of the content items, the authors of the content items, and the spreading of the content items.

Claims

1. A system, comprising:

a social media content collection engine, which in operation, continuously retrieves a plurality of social media content items from a social media network in real time, wherein the social media content items contain a set of query terms submitted by a user;

a social media content analysis engine, which in operation,

selects a set of social media content items from those retrieved that are trending over a period of time;

presents the selected trending social media content items in a plurality of types to the user;

enables the user to interactively navigate, view, and analyze the social media content items presented in the plurality of types.

2. The system of claim 1, wherein:

the social network is a publicly accessible web-based platform or community that enables its users/members to post, share, communicate, and interact with each other.

3. The system of claim 1, wherein:

the social network is one of any other web-based communities.

4. The system of claim 1, wherein:

the content items on the social media network include one or more of citations, tweets, replies and/or re-tweets to the tweets, posts, comments to other users'"'"' posts, opinions, feeds, connections, references, links to other websites or applications, or any other activities on the social network.

5. The system of claim 1, wherein:

one of the types of content items presented is one of top posts, wherein the social media content analysis engine identifies and presents the most important and/or frequently mentioned content items on the social network during the period of time for the query terms submitted.

6. The system of claim 1, wherein:

one of the types of content items presented is one of top links, wherein the social media content analysis engine identifies and presents the most important and/or frequently mentioned links to the content items on the social network during the period of time for the query terms submitted.

7. The system of claim 1, wherein:

one of the types of content items presented is one of top photos or videos, wherein the social media content analysis engine identifies and presents the most important and/or frequently mentioned photos or videos on the social network during the period of time for the query terms submitted.

8. The system of claim 1, wherein:

one of the types of content items presented is activity, wherein the social media content analysis engine identifies and presents the numbers of the content items containing the most frequently mentioned query terms during the period of time.

9. The system of claim 8, wherein:

the social media content analysis engine presents activity history data in real time on a rolling basis.

10. The system of claim 1, wherein:

the social media content analysis engine allows the user to selectively enable and disable display of a set of query terms and the associated lines representing the content items containing the query terms.

11. The system of claim 1, wherein:

the social media content analysis engine supports Share of Voice (SOV) analysis, which measures the relative change in mentions of a set of query terms in the content items collected from the social network over the period of time.

12. The system of claim 1, wherein:

the social media content analysis engine enables the user to select a time slice window during the period of time for presentation and analysis of the social media content items collected during the time slice window.

13. The system of claim 1, wherein:

the social media content analysis engine sorts and presents the top trending content items based on momentum of the query terms, which measures the combined popularity of the query terms and the speed at which that popularity is increasing.

14. The system of claim 1, wherein:

the social media content analysis engine sorts and presents the top trending content items based on velocity of the query terms, which solely measures the speed at which the query terms'"'"' popularity is increasing, independent of the query terms'"'"' overall popularity.

15. The system of claim 1, wherein:

the social media content analysis engine sorts and presents the top trending content items based on peak of the query terms, which indicates the time period that has the highest number of content items containing the query terms over the time period selected.

16. The system of claim 1, wherein:

the social media content analysis engine enables the user to input multiple domains for domain analysis in order to identify what links to these domains have the highest mention volume, momentum, and velocity or are peaking most recently via peaking period metrics.

17. The system of claim 1, wherein:

the social media content analysis engine presents a cumulative exposure view, which returns the gross cumulative exposure for the content items containing the set of query terms over the period of time.

18. The system of claim 17, wherein:

the social media content analysis engine calculates the cumulative exposure by summing the follower counts of all the authors of the content items that match the query terms.

19. A method, comprising:

retrieving continuously a plurality of social media content items from a social media network in real time, wherein the social media content items contain a set of query terms submitted by a user;

selecting a set of social media content items that are trending over a period of time from those retrieved;

presenting the selected trending social media content items in a plurality of types to the user;

enabling the user to interactively navigate, view, and analyze the social media content items presented in the plurality of types.

20. The method of claim 19, further comprising:

identifying and presenting the most important and/or frequently mentioned content items on the social network during the period of time for the query terms submitted.

21. The method of claim 19, further comprising:

identifying and presenting the most important and/or frequently mentioned links to the content items on the social network during the period of time for the query terms submitted.

22. The method of claim 19, further comprising:

identifying and presenting the most important and/or frequently mentioned photos or videos on the social network during the period of time for the query terms submitted.

23. The method of claim 19, further comprising:

identifying and presenting the numbers of the content items containing the most frequently mentioned query terms during the period of time.

24. The method of claim 23, further comprising:

presenting activity history data in real time on a rolling basis.

25. The method of claim 19, further comprising:

allowing the user to selectively enable and disable display of a set of query terms and the associated lines representing the content items containing the query terms.

26. The method of claim 19, further comprising:

supporting Share of Voice (SOV) analysis, which measures the relative change in mentions of a set of query terms in the content items collected from the social network over the period of time.

27. The method of claim 19, further comprising:

enabling the user to select a time slice window during the period of time for presentation and analysis of the social media content items collected during the time slice window.

28. The method of claim 19, further comprising:

sorting and presenting the top trending content items based on momentum of the query terms, which measures the combined popularity of the query terms and the speed at which that popularity is increasing.

29. The method of claim 19, further comprising:

sorting and presenting the top trending content items based on velocity of the query terms, which solely measures the speed at which the query terms'"'"' popularity is increasing, independent of the query terms'"'"' overall popularity.

30. The method of claim 19, further comprising:

sorting and presenting the top trending content items based on peak of the query terms, which indicates the time period that has the highest number of content items containing the query terms over the time period selected.

31. The method of claim 19, further comprising:

enabling the user to input multiple domains for domain analysis in order to identify what links to these domains have the highest mention volume, momentum, and velocity or are peaking most recently via peaking period metrics.

32. The method of claim 19, further comprising:

presenting a cumulative exposure view, which returns the gross cumulative exposure for the content items containing the set of query terms over the period of time.

33. The method of claim 19, further comprising:

calculating the cumulative exposure by summing the follower counts of all the authors of the content items that match the query terms.