Quantitative analysis of the Wikipedia community of users

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Quantitative analysis of the Wikipedia community of users
Authors: Felipe Ortega, Jesus M. Gonzalez-Barahona [edit item]
Citation: WikiSym '07 Proceedings of the 2007 international symposium on Wikis  : 75-86. 2007.
Publication type: Conference paper
Peer-reviewed: Yes
Database(s):
DOI: 10.1145/1296951.1296960.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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Quantitative analysis of the Wikipedia community of users is a publication by Felipe Ortega, Jesus M. Gonzalez-Barahona.


[edit] Abstract

Many activities of editors in Wikipedia can be traced using its database dumps, which register detailed information about every single change to every article. Several researchers have used this information to gain knowledge about the production process of articles, and about activity patterns of authors. In this analysis, we have focused onone of those previous works, by Kittur et al. First, we have followed the same methodology with more recent and comprehensive data. Then, we have extended this methodology to precisely identify which fraction of authors are producing most of the changes in Wikipedia's articles, and how the behaviour of these authors evolves over time. This enabled us not only to validate some of the previous results, but also to find new interesting evidences. We have found that the analysis of sysops is not a good method for estimating different levels of contributions, since it is dependent on the policy for electing them (which changes over time and for each language). Moreover, we have found new activity patterns classifying authors by their contributions during specific periods of time, instead of using their total number of contributions over the whole life of Wikipedia. Finally, we present a tool that automates this extended methodology, implementing a quick and complete quantitative analysis ofevery language edition in Wikipedia.

[edit] Research questions

"Many activities of editors in Wikipedia can be traced using its database dumps, which register detailed information about every single change to every article. Several researchers have used this information to gain knowledge about the production process of articles, and about activity patterns of authors. In this analysis, we have focused onone of those previous works, by Kittur et al. First, we have followed the same methodology with more recent and comprehensive data. Then, we have extended this methodology to precisely identify which fraction of authors are producing most of the changes in Wikipedia's articles, and how the behaviour of these authors evolves over time."

Research details

Topics: Social order [edit item]
Domains: Information systems [edit item]
Theory type: Analysis [edit item]
Wikipedia coverage: Main topic [edit item]
Theories: "Undetermined" [edit item]
Research design: Experiment [edit item]
Data source: Experiment responses, Wikipedia pages [edit item]
Collected data time dimension: Longitudinal [edit item]
Unit of analysis: User [edit item]
Wikipedia data extraction: Dump [edit item]
Wikipedia page type: Article, History [edit item]
Wikipedia language: English [edit item]

[edit] Conclusion

"This enabled us not only to validate some of the previous results, but also to find new interesting evidences. We have found that the analysis of sysops is not a good method for estimating different levels of contributions, since it is dependent on the policy for electing them (which changes over time and for each language). Moreover, we have found new activity patterns classifying authors by their contributions during specific periods of time, instead of using their total number of contributions over the whole life of Wikipedia. Finally, we present a tool that automates this extended methodology, implementing a quick and complete quantitative analysis ofevery language edition in Wikipedia."

[edit] Comments


Further notes[edit]

Facts about "Quantitative analysis of the Wikipedia community of users"RDF feed
AbstractMany activities of editors in Wikipedia caMany activities of editors in Wikipedia can be traced using its database dumps, which register detailed information about every single change to every article. Several researchers have used this information to gain knowledge about the production process of articles, and about activity patterns of authors. In this analysis, we have focused onone of those previous works, by Kittur et al. First, we have followed the same methodology with more recent and comprehensive data. Then, we have extended this methodology to precisely identify which fraction of authors are producing most of the changes in Wikipedia's articles, and how the behaviour of these authors evolves over time. This enabled us not only to validate some of the previous results, but also to find new interesting evidences. We have found that the analysis of sysops is not a good method for estimating different levels of contributions, since it is dependent on the policy for electing them (which changes over time and for each language). Moreover, we have found new activity patterns classifying authors by their contributions during specific periods of time, instead of using their total number of contributions over the whole life of Wikipedia. Finally, we present a tool that automates this extended methodology, implementing a quick and complete quantitative analysis ofevery language edition in Wikipedia.sis ofevery language edition in Wikipedia.
Added by wikilit teamAdded on initial load +
Collected data time dimensionLongitudinal +
ConclusionThis enabled us not only to validate some This enabled us not only to validate some of the previous results, but also to find new interesting evidences. We have found that the analysis of sysops is not a good method for estimating different levels of contributions, since it is dependent on the policy for electing them (which changes over time and for each language). Moreover, we have found new activity patterns classifying authors by their contributions during specific periods of time, instead of using their total number of contributions over the whole life of Wikipedia. Finally, we present a tool that automates this extended methodology, implementing a quick and complete quantitative analysis ofevery language edition in Wikipedia.sis ofevery language edition in Wikipedia.
Data sourceExperiment responses + and Wikipedia pages +
Doi10.1145/1296951.1296960 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22Quantitative%2Banalysis%2Bof%2Bthe%2BWikipedia%2Bcommunity%2Bof%2Busers%22 +
Has authorFelipe Ortega + and Jesus M. Gonzalez-Barahona +
Has domainInformation systems +
Has topicSocial order +
Pages75-86 +
Peer reviewedYes +
Publication typeConference paper +
Published inWikiSym '07 Proceedings of the 2007 international symposium on Wikis +
Research designExperiment +
Research questionsMany activities of editors in Wikipedia caMany activities of editors in Wikipedia can be traced using its database dumps, which register detailed information about every single change to every article. Several researchers have used this information to gain knowledge about the production process of articles, and about activity patterns of authors. In this analysis, we have focused onone of those previous works, by Kittur et al. First, we have followed the same methodology with more recent and comprehensive data. Then, we have extended this methodology to precisely identify which fraction of authors are producing most of the changes in Wikipedia's articles, and how the behaviour of these authors evolves over time.aviour of these authors evolves over time.
Revid10,916 +
TheoriesUndetermined
Theory typeAnalysis +
TitleQuantitative analysis of the Wikipedia community of users
Unit of analysisUser +
Urlhttp://dl.acm.org/citation.cfm?id=1296960 +
Wikipedia coverageMain topic +
Wikipedia data extractionDump +
Wikipedia languageEnglish +
Wikipedia page typeArticle + and History +
Year2007 +