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Software Collaboration Networks

  • Chapter
Complex Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 424))

Abstract

The need to work together with others on large projects has been emphasized with industrialization. As the software industry grew, it should be no surprise that communities to serve this purpose appeared. With the creation of websites such as Sourceforge.net, Github.com, and Freshmeat.net developers from around the world are able to collaborate on open source projects. This paper will attempt to extend previous studies of software collaboration networks through the use of network analysis. Examining Sourceforge.net, we analyze this community of developers who have contributed greatly to open source software despite not being paid to do so.

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References

  1. Gao, Y., Madey, G.: Network Analysis of the SourceForge.net Community. Spring Sim. 1, 187–200 (2007)

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  2. Gao, Y., Madey, G.: Towards understanding: A study of the Source-Forge.net community using modeling and simulation. Spring Sim. 1, 145–150

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  3. Xu, J., Christley, S., Madey, G.: Network Analysis to the Study of Open Source Software Application of Social. In: The Economics of Open Source Software Development, vol. 205, Elsevier B.V. (2006)

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Author information

Authors and Affiliations

  1. University of Nevada, Reno, USA

    Christopher Zachor & Mehmet Hadi Gunes

Authors
  1. Christopher Zachor
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  2. Mehmet Hadi Gunes
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Corresponding author

Correspondence to Christopher Zachor .

Editor information

Editors and Affiliations

  1. Dept. Computer Sciences, Florida Institute of Technology, W. University Blvd. 150, Melbourne, FL, 32901, Florida, USA

    Ronaldo Menezes

  2. COPPE/Federal Univ. of Rio de Janeiro, Rio de Janeiro, RJ, 21941-972, Brazil

    Alexandre Evsukoff

  3. Massachusetts Institute of Technology, Room 1-153, Massachusetts Avenue 77, Cambridge, 02139, USA

    Marta C. González

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© 2013 Springer-Verlag Berlin Heidelberg

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Zachor, C., Gunes, M.H. (2013). Software Collaboration Networks. In: Menezes, R., Evsukoff, A., González, M. (eds) Complex Networks. Studies in Computational Intelligence, vol 424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30287-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-30287-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30286-2

  • Online ISBN: 978-3-642-30287-9

  • eBook Packages: EngineeringEngineering (R0)

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