Social network posting analysis using degree of separation correlation

• US 9,208,248 B2
• Filed: 08/16/2013
• Issued: 12/08/2015
• Est. Priority Date: 08/12/2013
• Status: Active Grant

• Current Assignee: Beijing Zitiao Network Technology Company Limited (ByteDance Ltd.)
• Original Assignee: International Business Machines Corporation
• Inventors: Anders, Kelley L., Hewitt, Trudy L.
• Primary Examiner(s): Le, Hung
• Application Number:
  US13/969,099
• Publication Number:
  US 20150046454A1
• Time in Patent Office: 844 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A degree of social network separation of a social network user that generated expressive content of a social media posting is identified relative to a specified social network user for each of a group of social media postings. Social media postings with an equivalent identified degree of social network separation relative to the specified social network user are grouped. Differences between the expressive content of the grouped social media postings at different degrees of social network separation are determined. The determined differences between the expressive content of the grouped social media postings at the different degrees of social network separation are rendered.

Claims

1. A method, comprising:

identifying, via a processor, relative to a specified social network user for each of a plurality of social media postings, a degree of social network separation of a social network user that generated expressive content of the respective social media posting;

grouping social media postings that comprise an equivalent identified degree of social network separation relative to the specified social network user;

determining differences between the expressive content of the grouped social media postings at different degrees of social network separation; and

rendering the determined differences between the expressive content of the grouped social media postings at the different degrees of social network separation.

2. The method of claim 1, where identifying, via the processor, relative to the specified social network user for each of the plurality of social media postings, the degree of social network separation of the social network user that generated the expressive content of the respective social media posting comprises identifying the degree of social network separation across multiple social networks.

3. The method of claim 1, where the expressive content of the grouped social media postings comprises expressed opinions within the social media postings related to a topic, and where determining the differences between the expressive content of the grouped social media postings at the different degrees of social network separation comprises:

correlating, within each group of social media postings, similar expressed opinions of social media postings into expressed opinion sets; and

determining differences between the correlated expressed opinion sets within each group of social media postings.

4. The method of claim 3, where determining the differences between the expressive content of the grouped social media postings at the different degrees of social network separation further comprises:

determining a predominant opinion among the correlated expressed opinion sets within each group of social media postings; and

determining differences between the predominant opinions across the groups of social media postings at the different degrees of social network separation.

5. The method of claim 1, where:

determining the differences between the expressive content of the grouped social media postings at the different degrees of social network separation comprises determining a trend of opinion change across the different degrees of social network separation; and

rendering the determined differences between the expressive content of the grouped social media postings at the different degrees of social network separation comprises graphically rendering the determined trend of opinion change across the different degrees of social network separation.

6. The method of claim 1, where determining the differences between the expressive content of the grouped social media postings at the different degrees of social network separation comprises:

analyzing text of the expressive content of the social media postings within each group of social media postings;

categorizing the expressive content based upon a frequency of similar expressive content within each group of social media postings; and

identifying a highest-frequency expressive content within each group of social media postings as a predominant expressive content of social network users in each group of social media postings.

7. The method of claim 1, further comprising:

identifying, among the different degrees of social network separation, a degree of separation at which to focus efforts to influence opinion change based upon a greatest deviation of opinion within the expressive content relative to a target configured opinion; and

where rendering the determined differences between the expressive content of the grouped social media postings at the different degrees of social network separation comprises graphically rendering the identified degree of separation at which to focus the efforts to influence opinion change.