Social Network Analysis of TikiWiki - Literature Review

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The network of participants in open source projects can be mapped and visualized using social network analysis. This visualization can identify the key participants involved in various clusters that make up the project, providing a map of how individuals are collaborating to fulfill tasks. The information can be used to identify key members such as knowledge brokers, help better integrate peripheral members, and facilitate locating experts or possessors of relevant tacit knowledge. I will discuss a case study of the TikiWiki open source community comparing (1) the traditional approach of analyzing mailing list exchanges, and (2) a more interesting analysis of the wiki used by the community.

Published in: Economy & Finance, Technology
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Social Network Analysis of TikiWiki - Literature Review

  1. 1. Some Literature  Stamelos, Angelis, Sowe (2006) – Study of 3 Debian mailing lists – Identify knowledge brokers – Survey of motivations to contribute  Roberts, Hann, Slaughter (2006) – Apache HTTPD project mailing list – Identified 3 concentric circle layers – Correlation with code contribution (cc) attribution, share-alike
  2. 2. Some Literature (2)  Matheson (2007) – Co-authorship networks of Wikipatterns.com  Holloway, Bozicevic, Borner (2005/7) – Semantic mapping of Wikipedia categories – Top 10 category authors  Crowston, Howiston, Inoue (2006) – Sourceforge bug tracker data – Empirical identification of core (cc) attribution, share-alike

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