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MiningEmailSocialNetworks
1. Mining Email Social Networks in OSS Christian Bird, Prem Devanbu, Alex Gourley, and Michael Gertz Department of Computer Science Anand Swaminathan Graduate School of Management University of California, Davis
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4. It is widely believed that OSS communities form a hierarchy Can we use social network analysis to examine these OSS communities? Image from Socialization in an Open Source Community , Nicolas Ducheneaut
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13. 3 7 2 5 6 4 1 12 10 8 9 11 Example High Out-Degree High Betweenness High In-Degree
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15. Everybody likes a pretty picture! This is the social network of some of the most active participants on the Apache developer mailing list. Each link indicates at least 150 messages between participants. Ryan Bloom has high betweenness in this network. Of the participants shown, he has the highest number of source file commits.
16. The distribution of in-degree and out-degree both exhibit a power-law character
17. Status of Developers vs. Non-Developers Largest difference is in betweenness 0.000367 0.00794 In-Degree 0.000451 0.00666 Out-degree 0.000140 0.0114 Betweenness Non-Developer Developer
![Motivation ,[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)