A Quantitative Study of Social Organisation in Open Source Software Communities

A Quantitative Study of Social Organisation in Open Source Software Communities

Authors Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, Frank Schweitzer



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Marcelo Serrano Zanetti
Emre Sarigöl
Ingo Scholtes
Claudio Juan Tessone
Frank Schweitzer

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Marcelo Serrano Zanetti, Emre Sarigöl, Ingo Scholtes, Claudio Juan Tessone, and Frank Schweitzer. A Quantitative Study of Social Organisation in Open Source Software Communities. In 2012 Imperial College Computing Student Workshop. Open Access Series in Informatics (OASIcs), Volume 28, pp. 116-122, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012) https://doi.org/10.4230/OASIcs.ICCSW.2012.116

Abstract

The success of open source projects crucially depends on the voluntary contributions of a sufficiently large community of users. Apart from the mere size of the community, interesting questions arise when looking at the evolution of structural features of collaborations between community members. In this article, we discuss several network analytic proxies that can be used to quantify different aspects of the social organisation in social collaboration networks. We particularly focus on measures that can be related to the cohesiveness of the communities, the distribution of responsibilities and the resilience against turnover of community members. We present a comparative analysis on a large-scale dataset that covers the full history of collaborations between users of $14$ major open source software communities. Our analysis covers both aggregate and time-evolving measures and highlights differences in the social organisation across communities. We argue that our results are a promising step towards the definition of suitable, potentially multi-dimensional, resilience and risk indicators for open source software communities.

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Keywords
  • open source software
  • mining software repositories
  • social networks

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