Community evolution on Stack Overflow.

Question and answer (Q&A) websites are a medium where people can communicate and help each other. Stack Overflow is one of the most popular Q&A websites about programming, where millions of developers seek help or provide valuable assistance. Activity on the Stack Overflow website is moderat...

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Detalles Bibliográficos
Autores principales:	Iraklis Moutidis, Hywel T P Williams
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3d3c96de34f44c16967130b33d4f09d0
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spelling	oai:doaj.org-article:3d3c96de34f44c16967130b33d4f09d02021-12-02T20:10:29ZCommunity evolution on Stack Overflow.1932-620310.1371/journal.pone.0253010https://doaj.org/article/3d3c96de34f44c16967130b33d4f09d02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253010https://doaj.org/toc/1932-6203Question and answer (Q&A) websites are a medium where people can communicate and help each other. Stack Overflow is one of the most popular Q&A websites about programming, where millions of developers seek help or provide valuable assistance. Activity on the Stack Overflow website is moderated by the user community, utilizing a voting system to promote high quality content. The website was created on 2008 and has accumulated a large amount of crowd wisdom about the software development industry. Here we analyse this data to examine trends in the grouping of technologies and their users into different sub-communities. In our work we analysed all questions, answers, votes and tags from Stack Overflow between 2008 and 2020. We generated a series of user-technology interaction graphs and applied community detection algorithms to identify the biggest user communities for each year, to examine which technologies those communities incorporate, how they are interconnected and how they evolve through time. The biggest and most persistent communities were related to web development. In general, there is little movement between communities; users tend to either stay within the same community or not acquire any score at all. Community evolution reveals the popularity of different programming languages and frameworks on Stack Overflow over time. These findings give insight into the user community on Stack Overflow and reveal long-term trends on the software development industry.Iraklis MoutidisHywel T P WilliamsPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253010 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Iraklis Moutidis Hywel T P Williams Community evolution on Stack Overflow.
description	Question and answer (Q&A) websites are a medium where people can communicate and help each other. Stack Overflow is one of the most popular Q&A websites about programming, where millions of developers seek help or provide valuable assistance. Activity on the Stack Overflow website is moderated by the user community, utilizing a voting system to promote high quality content. The website was created on 2008 and has accumulated a large amount of crowd wisdom about the software development industry. Here we analyse this data to examine trends in the grouping of technologies and their users into different sub-communities. In our work we analysed all questions, answers, votes and tags from Stack Overflow between 2008 and 2020. We generated a series of user-technology interaction graphs and applied community detection algorithms to identify the biggest user communities for each year, to examine which technologies those communities incorporate, how they are interconnected and how they evolve through time. The biggest and most persistent communities were related to web development. In general, there is little movement between communities; users tend to either stay within the same community or not acquire any score at all. Community evolution reveals the popularity of different programming languages and frameworks on Stack Overflow over time. These findings give insight into the user community on Stack Overflow and reveal long-term trends on the software development industry.
format	article
author	Iraklis Moutidis Hywel T P Williams
author_facet	Iraklis Moutidis Hywel T P Williams
author_sort	Iraklis Moutidis
title	Community evolution on Stack Overflow.
title_short	Community evolution on Stack Overflow.
title_full	Community evolution on Stack Overflow.
title_fullStr	Community evolution on Stack Overflow.
title_full_unstemmed	Community evolution on Stack Overflow.
title_sort	community evolution on stack overflow.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/3d3c96de34f44c16967130b33d4f09d0
work_keys_str_mv	AT iraklismoutidis communityevolutiononstackoverflow AT hyweltpwilliams communityevolutiononstackoverflow
_version_	1718374994427248640

Community evolution on Stack Overflow.

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