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Understanding the KDE Social Structure through Mining of Email Archive

Presented at Limerick, Ireland, June 11-14 2007
Publication date2007
Abstract

In order to achieve a better understanding of FLOSS social structure, we need a definition of social position. From a theoretical perspective, we propose to think the participation as a trajectory. Empirically, we use optimal matching to build a typology of participation trajectories based on KDE email archives. We show how these trajectories structure the community as a whole by combining these results with a social network analysis.

Keywords
  • Analysis of trajectories
  • Community of Practice
  • Optimal Matching
  • Social Network Analysis
  • Social Position
  • Social Structure
Citation (ISO format)
STUDER, Matthias, MUELLER, Nicolas Séverin, RITSCHARD, Gilbert. Understanding the KDE Social Structure through Mining of Email Archive. In: 2nd Workshop on Public Data about Software Development (WoPDaSD 2007), Third International Conference on Open Source Systems (OSS). Limerick, Ireland. [s.l.] : [s.n.], 2007.
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  • PID : unige:4553
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