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

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 dev...

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Detalles Bibliográficos
Autores principales: Paxton, Alexandra, Varoquaux, Nelle, Holdgraf, Chris, Geiger, R. Stuart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287033/
https://www.ncbi.nlm.nih.gov/pubmed/35579857
http://dx.doi.org/10.1111/cogs.13134
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author Paxton, Alexandra
Varoquaux, Nelle
Holdgraf, Chris
Geiger, R. Stuart
author_facet Paxton, Alexandra
Varoquaux, Nelle
Holdgraf, Chris
Geiger, R. Stuart
author_sort Paxton, Alexandra
collection PubMed
description 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, although the specific impacts of different community responses are crucially modulated by the context of the newcomer's first contact with the community.
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spelling pubmed-92870332022-07-19 Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities Paxton, Alexandra Varoquaux, Nelle Holdgraf, Chris Geiger, R. Stuart Cogn Sci Regular Articles 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, although the specific impacts of different community responses are crucially modulated by the context of the newcomer's first contact with the community. John Wiley and Sons Inc. 2022-05-17 2022-05 /pmc/articles/PMC9287033/ /pubmed/35579857 http://dx.doi.org/10.1111/cogs.13134 Text en © 2022 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS). https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Articles
Paxton, Alexandra
Varoquaux, Nelle
Holdgraf, Chris
Geiger, R. Stuart
Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
title Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
title_full Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
title_fullStr Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
title_full_unstemmed Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
title_short Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open‐Source Software Communities
title_sort community, time, and (con)text: a dynamical systems analysis of online communication and community health among open‐source software communities
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287033/
https://www.ncbi.nlm.nih.gov/pubmed/35579857
http://dx.doi.org/10.1111/cogs.13134
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