Ata uhi

Small-World Phenomenon of Global Open-Source Software Collaboration on Github: A Social Network Analysis

I tiakina i:
I whakaputaina i:Journal of Global Information Management vol. 33, no. 1 (2025), p. 1-25
Kaituhi matua: Zhang, Guoying
Ētahi atu kaituhi: Schuessler, Joseph H., Shao, Chris Y.
I whakaputaina:
IGI Global
Ngā marau:
Collaboration
Social networks
Open source software
Social dynamics
International standards
Social network analysis
Network centrality
Software
Network analysis
Eigenvectors
Standardization
Public domain
Closeness
Innovations
International organizations
Software development
Statistics
Social
Urunga tuihono:Citation/Abstract
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Whakarāpopotonga:This study employs social network analysis to investigate the dynamics of collaboration regarding open-source software development on GitHub. Specifically, the study focuses on collaboration among various economies as defined by the International Organization for Standardization in ISO 3166-1 (2020). Collaboration data, such as Git pulls and pushes from the GitHub Innovation Graph from 2020 to 2023, were adopted as primary sources. Around 190 eligible economies were included in the analysis based on their collaboration efforts. The study constructed a directed, weighted network to map these collaborations, identify key economies, and validate the small-world phenomenon discussed by Watts and Strogatz in 1998. Network centrality statistics were summarized, and network communities were identified. The small-world phenomenon was validated by benchmarking the small-worldness index proposed by Humphries and Gurney in 2008. Furthermore, this study shows that variations in developer counts, repository volumes, or organization presence do not significantly influence an economy's centrality measures, such as closeness and eigenvector centralities.
ISSN:1062-7375
DOI:10.4018/JGIM.387412
Puna:ABI/INFORM Global