





















Abstract:We measure cross-boundary collaboration in an open-source software (OSS) ecosystem by reconstructing the bipartite contributor-repository graph of 464 cybersecurity projects and 11,372 contributors active over October 2001-May 2022 (Rawsec Cybersecurity Inventory). Louvain community detection identifies 163 non-singleton communities; per-community contributor count scales superlinearly with repository count (n_contributors ~ n_repos^1.4), and community formation follows a logistic trajectory saturating around 2018. Three patterns support a recognition/repeat-relationship account of cross-boundary work. First, cross-community work concentrates in a thin carrier layer: only nine canonical humans span seven or more communities at the commit level, authoring 14% of 4,015 inter-community merged pull requests; the top 50 cross-community contributors produce 54%. Second, boundary friction is a recognition cost, not a fixed boundary property: inter-community pull-request acceptance rises from 42% at breadth k=1 to 87% at k=5-9, with median latency compressing from 147 h to 49 h. Third, community survival is cohort-structured: per-cohort residualisation hazard rises an order of magnitude between pre-2010 and 2018 cohorts, and external community reach predicts survival mainly through size, leaving late cohorts under-served despite a stable carrier layer. The corpus predates mainstream LLM coding assistants; this baseline of carrier-layer thinness, friction gradient, and cohort hazard informs debates on social coding as a template for digital societies and on what AI-mediated OSS ecosystems should not optimise away.
| Comments: | 52 pages (main text + supplementary material), 5 main figures, 13 supplementary figures, 2 main tables. Submitted to EPJ Data Science. Data and code: this https URL |
| Subjects: | Computers and Society (cs.CY); Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph) |
| MSC classes: | 91D30, 68M11, 62M10 |
| ACM classes: | H.5.3; K.6.3; J.4 |
| Cite as: | arXiv:2605.25055 [cs.CY] |
| (or arXiv:2605.25055v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2605.25055 arXiv-issued DOI via DataCite (pending registration) |
From: Thomas Maillart [view email]
[v1]
Sun, 24 May 2026 13:04:24 UTC (4,127 KB)
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。