Conference proceeding
Social Intelligence in Completely Online Groups - Toward Social Prosthetics from Log Data Analysis and Transformation
2010 IEEE Second International Conference on Social Computing, pp 500-507
Aug 2010
Abstract
Technology mediated groups interact in surprising ways to produce coherent behavior that contributes to collective and individual ends. Traces of these activities are captured in system log data. In this report we use Erickson's application of human social intelligence to social computing as a frame for contrasting 3 studies of rich trace data captured from an online learning management system. First, we present a data-mining algorithm that is effective for identifying small group membership in dense networks. Second, we describe our use of social network analysis techniques to make online group development more visible. Third, we transform raw trace data into a weighted, social form that enables the development of prosthetics for social intelligence in online learning and work environments. Finally, we assert that thinking about "social intelligence prosthetics" will help the social computing research community to develop theory that considers the interwoven roles of computation, interaction design and data structure.
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15 citations in Scopus
Details
- Title
- Social Intelligence in Completely Online Groups - Toward Social Prosthetics from Log Data Analysis and Transformation
- Creators
- S P Goggins - Drexel UniversityM Gallagher - Drexel UniversityJ Laffey - University of MissouriC Amelung
- Publication Details
- 2010 IEEE Second International Conference on Social Computing, pp 500-507
- Conference
- 2010 IEEE Second International Conference on Social Computing
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-78649274366
- Other Identifier
- 991019174736504721