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arXiv 1208.4289cs.SEcs.SInlin.AOphysics.soc-ph
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开源软件社区社会组织的定量研究

A Quantitative Study of Social Organisation in Open Source Software Communities

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

摘要:

开源项目的成功关键取决于足够大的用户社区的自愿贡献。除了单纯的社区规模,有趣的问题出现时,在社区成员之间的合作的结构特征的演变。在本文中,我们讨论了几个网络分析代理,可用于量化社会协作网络中社会组织的不同方面。我们特别注重与社区凝聚力、责任分配和社区成员流动复原力有关的措施。我们对一个大规模的数据集进行了比较分析,该数据集涵盖了14个主要开源软件社区用户之间的完整合作历史。我们的分析涵盖了总体和时间演变的措施,并强调了不同社区的社会组织的差异。我们认为,我们的研究结果是一个有前途的一步,合适的,潜在的多维,弹性和风险指标的定义开源软件社区。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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