On the origin of power laws in Internet topologies
ACM SIGCOMM Computer Communication Review
Temporal Analysis of the Wikigraph
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Quantitative analysis of thewikipedia community of users
Proceedings of the 2007 international symposium on Wikis
Viable wikis: struggle for life in the wikisphere
Proceedings of the 2007 international symposium on Wikis
On the Inequality of Contributions to Wikipedia
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Power-Law Distributions in Empirical Data
SIAM Review
An approach for using Wikipedia to measure the flow of trends across countries
Proceedings of the 22nd international conference on World Wide Web companion
Analyzing multi-dimensional networks within MediaWikis
Proceedings of the 9th International Symposium on Open Collaboration
VidWiki: enabling the crowd to improve the legibility of online educational videos
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Due to the inherent difficulty in obtaining experimental data from wikis, past quantitative wiki research has largely been focused on Wikipedia, limiting the degree that it can be generalized. We developed WikiCrawler, a tool that automatically downloads and analyzes wikis, and studied 151 popular wikis running Mediawiki (none of them Wikipedias). We found that our studied wikis displayed signs of collaborative authorship, validating them as objects of study. We also discovered that, as in Wikipedia, the relative contribution levels of users in the studied wikis were highly unequal, with a small number of users contributing a disproportionate amount of work. In addition, power-law distributions were successfully fitted to the contribution levels of most of the studied wikis, and the parameters of the fitted distributions largely predicted the high inequality that was found. Along with demonstrating our methodology of analyzing wikis from diverse sources, the discovered similarities between wikis suggest that most wikis accumulate edits through a similar underlying mechanism, which could motivate a model of user activity that is applicable to wikis in general.