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Published byJodie Lyons Modified over 9 years ago
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By Chris Zachor
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Introduction Background Changes Methodology Data Collection Network Topologies Measures Tools Conclusion Questions
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Use network analysis to better understand the SourceForge and Github community developers Identify key differences (if any) within the two communities Examine the diversity of collaborations within these two communities
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The addition of Github to the study Contains some of the same attributes to allow for a comparison Other communities were looked at, but they either were not large enough or did not provide enough public data.
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Crawling the websites using a simple Perl script and regular expressions Collect a project list from Sourceforge www.sourceforge.net/projects/projectTitle www.sourceforge.net/projects/projectTitle No specified request limit Check for duplicates
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Using the Github API provides our data Limited to 60 API calls per minute Use multiple computers to collect all 1.5 million projects
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Degree Clustering Coeficient Modularity Power Law Small World Phenomenon
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Average number of projects worked on by a developer Average number of collaborations Average number of developers on a project
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Examine how likely developers are to stick together in groups Examine both average clustering coefficient for the entire network and the local clustering coefficient for nodes of interest
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Provide us with a measure of how diverse developer collaborations are. Range -1 < Q < 1 Ranges closer to one show less diversity in collaboration choices Ranges closer to negative one show more diversity in collaboration choices
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Previous studies have found that the Sourceforge community does follow the power law No such study has been done on the Github community Fewer developers should be apart of many project while many developers should be involved with only one project
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Previous studies have shown the Sourceforge community does exhibit small world properties Once again, no study has been done on the Github community Using Pajek, I will create a random network of the same nodes and edges Then, compare the clustering coefficient and the average shortest path
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Perl Pajek cURL wget GUESS
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Through the use of network analysis, we hope to gain a better understanding of the developers of Sourceforge and Github communities.
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