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Analyzing the wikisphere: Methodology and data to support quantitative wiki research
Abstract Owing to the inherent difficulty in obtainOwing to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely focused on Wikipedia, limiting the ability to generalize such research. To facilitate the analysis of wikis other than Wikipedia, we developed WikiCrawler, a tool that automatically gathers research data from public wikis without supervision. We then built a corpus of 151 wikis, which we have made publicly available. Our analysis indicated that these wikis display signs of collaborative authorship, validating them as objects of study. We then performed an initial analysis of the corpus and discovered some similarities with Wikipedia, such as users contributing at unequal rates. We also analyzed distributions of edits across pages and users, resulting in data which can motivate or verify mathematical models of behavior on wikis. By providing data collection tools and a corpus of already-collected data, we have completed an important first step for investigations that analyze user behavior, establish measurement baselines for wiki evaluation, and generalize Wikipedia research by testing hypotheses across many wikis.h by testing hypotheses across many wikis.
Abstractsub Owing to the inherent difficulty in obtainOwing to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely focused on Wikipedia, limiting the ability to generalize such research. To facilitate the analysis of wikis other than Wikipedia, we developed WikiCrawler, a tool that automatically gathers research data from public wikis without supervision. We then built a corpus of 151 wikis, which we have made publicly available. Our analysis indicated that these wikis display signs of collaborative authorship, validating them as objects of study. We then performed an initial analysis of the corpus and discovered some similarities with Wikipedia, such as users contributing at unequal rates. We also analyzed distributions of edits across pages and users, resulting in data which can motivate or verify mathematical models of behavior on wikis. By providing data collection tools and a corpus of already-collected data, we have completed an important first step for investigations that analyze user behavior, establish measurement baselines for wiki evaluation, and generalize Wikipedia research by testing hypotheses across many wikis.h by testing hypotheses across many wikis.
Bibtextype article  +
Citeulike 9338520  +
Doi 10.1002/asi.21576  +
Has author Jeffrey Stuckman + , James Purtilo +
Issue 8  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 1564-1576  +
Published in Journal of the American Society for Information Science and Technology +
Title Analyzing the wikisphere: Methodology and data to support quantitative wiki research +
Type journal article  +
Volume 62  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 28 January 2012 21:40:19  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Journal articles  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 20 May 2012 14:45:52  +
DateThis property is a special property in this wiki. August 2011  +
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Analyzing the wikisphere: Methodology and data to support quantitative wiki research + Title
 

 

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