Building digital societies as ecosystems: how recognition and repeat relationships sustain cross-community work in open source
The study reconstructs a bipartite contributor–repository graph of 464 cybersecurity-focused OSS projects and 11,372 contributors from 2001 to 2022, identifying 163 non‑singleton communities. It finds superlinear scaling of contributors with repository count, a logistic growth trajectory peaking in 2018, and three key patterns: cross‑community work is concentrated in a small group of contributors, boundary friction is relationship‑specific rather than fixed, and community survival is cohort‑structured with higher hazard for later cohorts. The analysis provides a pre‑AI baseline before large‑l…
The study reconstructs a bipartite contributor–repository graph of 464 cybersecurity-focused OSS projects and 11,372 contributors from 2001 to 2022, identifying 163 non‑singleton communities. It finds superlinear scaling of contributors with repository count, a logistic growth trajectory peaking in 2018, and three key patterns: cross‑community work is concentrated in a small group of contributors, boundary friction is relationship‑specific rather than fixed, and community survival is cohort‑structured with higher hazard for later cohorts. The analysis provides a pre‑AI baseline before large‑l…
It offers a Swiss AI‑relevant baseline for assessing how AI tools may alter cross‑community collaboration and the dependency on key contributors in digital ecosystems.
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