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The Meso-level structure of F/OSS collaboration network: local communities and their innovativeness

The Meso-level structure of F/OSS collaboration network: local communities and their innovativeness

Conaldi, Guido and Rullani, Francesco (2010) The Meso-level structure of F/OSS collaboration network: local communities and their innovativeness. In: 6th International IFIP WG 2.13 Conference on Open Source Systems, OSS 2010. IFIP Advances in Information and Communication Technology (319). Springer, Boston, pp. 42-52. ISBN 978-3-642-13243-8 (doi:10.1007/978-3-642-13244-5)

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Abstract

Social networks in Free/Open Source Software (F/OSS) have been usually analyzed at the level of the single project, or at the level of a whole ecology of projects. In this paper, we also investigate the social network generated by developers who collaborate to one or multiple F/OSS projects, but we focus on the less-studied meso-level structure emerging when applying to this network a community-detection technique. The network of ‘communities’ emerging from this analysis links sub-groups of densely connected developers, sub-groups that are smaller than the components of the network but larger than the teams working on single projects. Our results reveal the complexity of this meso-level structure, where several dense sub-groups of developers are connected by sparse collaboration among different sub-groups. We discuss the theoretical implications of our findings with reference to the wider literature on collaboration networks and potential for innovation. We argue that the observed empirical meso-structure in F/OSS collaboration network resembles that associated to the highest levels of innovativeness.

Item Type: Conference Proceedings
Title of Proceedings: 6th International IFIP WG 2.13 Conference on Open Source Systems, OSS 2010
Additional Information: [1] This book constitutes the refereed proceedings of the 6th International IFIP WG 2.13 Conference on Open Source Systems, OSS 2010, held in Notre Dame, IN, USA, in May/June 2010
Uncontrolled Keywords: Open Source Software,social network analysis, community detection
Subjects: H Social Sciences > HT Communities. Classes. Races
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Business > Centre for Business Network Analysis
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5319

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