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Quantitative analysis of the Wikipedia community of users
Abstract Many 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 team Added on initial load  +
Collected data time dimension Longitudinal  +
Conclusion This 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 source Experiment responses  + , Wikipedia pages  +
Doi 10.1145/1296951.1296960 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Quantitative%2Banalysis%2Bof%2Bthe%2BWikipedia%2Bcommunity%2Bof%2Busers%22  +
Has author Felipe Ortega + , Jesus M. Gonzalez-Barahona +
Has domain Information systems +
Has topic Social order +
Pages 75-86  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in WikiSym '07 Proceedings of the 2007 international symposium on Wikis +
Research design Experiment  +
Research questions Many 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.
Revid 10,916  +
Theories Undetermined
Theory type Analysis  +
Title Quantitative analysis of the Wikipedia community of users
Unit of analysis User  +
Url http://dl.acm.org/citation.cfm?id=1296960  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type Article  + , History  +
Year 2007  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:30:00  +
Categories Social order  + , Information systems  + , Publications with missing comments  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:30:30  +
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