Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Cognitive Science Année : 2022

Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities

Résumé

Free and open-source software projects have become essential digital infrastructure over the past decade. These projects are largely created and maintained by unpaid volunteers, presenting a potential vulnerability if the projects cannot recruit and retain new volunteers. At the same time, their development on open collaborative development platforms provides a nearly complete record of the community's interactions; this affords the opportunity to study naturally occurring language dynamics at scale and in a context with massive real-world impact. The present work takes a dynamical systems view of language to understand the ways in which communicative context and community membership shape the emergence and impact of language use-specifically, sentiment and expressions of gratitude. We then present evidence that these language dynamics shape newcomers' likelihood of returning,
Fichier principal
Vignette du fichier
paxton_community.pdf (1.09 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03798530 , version 1 (05-10-2022)

Identifiants

Citer

Alexandra Paxton, Nelle Varoquaux, Chris Holdgraf, R. Stuart Geiger. Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities. Cognitive Science, 2022, 46, ⟨10.1111/cogs.13134⟩. ⟨hal-03798530⟩
645 Consultations
60 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More