Mining a Decade of Event Impacts on Contributor Dynamics in Ethereum: A Longitudinal Study
Matteo Vaccargiu, Sabrina Aufiero, Cheick Ba, Silvia Bartolucci,, Richard Clegg, Daniel Graziotin, Rumyana Neykova, Roberto Tonelli, Giuseppe, Destefanis

TL;DR
This longitudinal study analyzes a decade of Ethereum development data to understand how technical, market, and community events influence contributor activity, collaboration, and project resilience.
Contribution
It provides a comprehensive analysis of how various events impact Ethereum developer activity and community dynamics over ten years, revealing patterns of adaptation and resilience.
Findings
Technical events increase activity before the event and decrease afterward.
Market events trigger reactive development patterns.
Core infrastructure repositories resolve issues faster than developer tools.
Abstract
We analyze developer activity across 10 major Ethereum repositories (totaling 129884 commits, 40550 issues) spanning 10 years to examine how events such as technical upgrades, market events, and community decisions impact development. Through statistical, survival, and network analyses, we find that technical events prompt increased activity before the event, followed by reduced commit rates afterwards, whereas market events lead to more reactive development. Core infrastructure repositories like Go-Ethereum exhibit faster issue resolution compared to developer tools, and technical events enhance core team collaboration. Our findings show how different types of events shape development dynamics, offering insights for project managers and developers in maintaining development momentum through major transitions. This work contributes to understanding the resilience of development…
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Taxonomy
TopicsData Mining Algorithms and Applications · Data Quality and Management · Advanced Database Systems and Queries
