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Using Networks to Visualize and Understand Participation on


Abstract is an online repository for open source development that provides tools, file distribution, and web space for open source software developers. While it has become an establishment for distribution of open source software, it has also been used as a data resource for those interested in studying the nature of open source development. In the existing work there has been little discussion of the differences in the modes of participation between members and non-members of open source development projects. Our interest in performing a network analysis of was to better understand the participation of users between projects, and how the activity of project members, that is those involved with the production of a software project contrasted with the contributions of non-members, typically those who are consumers of the software. Much of the previous work on the data set has been by Greg Madey from Notre Dame, who hosts the research data for academic use. He and many collaborators have done numerous analyses of participation and community structure in the SourceForge data set. The topics explored include more in-depth looks at activity as a whole [1] developing models to simulate the developer network [3], and analysis of the membership networks [2]. David and Rullani [4] proposed that a probability matrix could describe for possible changes in user behavior on SourceForge over time. Separately, many people have used the SourceForge data set to analyze behavior, many of which are listed at MIT’s open source research community sit

Topics: From the S
Year: 2009
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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