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Temporal analysis of the Wikigraph
Abstract Wikipedia is an online encyclopedia, availWikipedia is an online encyclopedia, available in more than 100 languages and comprising over 1 million articles in its English version. If we consider each Wikipedia article as a node and each hyperlink between articles as an arc we have a "Wikigraph" a graph that represents the link structure of Wikipedia. The Wikigraph differs from other Web graphs studied in the literature by the fact that there are explicit timestamps associated with each node's events. This allows us to do a detailed analysis of the Wikipedia evolution over time. In the first part of this study we characterize this evolution in terms of users editions and articles; in the second part we depict the temporal evolution of several topological properties of the Wikigraph. The insights obtained from the Wikigraphs can be applied to large Web graphs from which the temporal data is usually not available.he temporal data is usually not available.
Added by wikilit team Added on initial load  +
Collected data time dimension Longitudinal  +
Comments The observation of the Wikipedia provides mixed signals of increasing growth and constant maturity of this collection.
Conclusion The observation of the Wikipedia provides The observation of the Wikipedia provides mixed signals of growth and maturity of this collection. Signs of transient regime (growth): • The number of articles, updates, visitors and editors is still growing exponentially. • The size of articles is still growing linearly. • The number of links per article is also growing linearly, slowly than the amount of text. • The number of reverts is growing slowly, which may signal more vandalism, but the number of double reverts (revert wars) has stabilized. Signs of permanent regime (maturity): • There is a clear power-law distribution of the indegree and outdegree. • The average edits per user has been mostly constant in the last two years. • There is a high correlation between PageRank and indegree, indicating that the microscopic connectivity of the encyclopedia resembles its mesoscopic properties. • The clustering coefficient and edge reciprocity of links have remained basically constant during the last two years. • Over 2/3 of the articles belong now to the larger strongly connected component.o the larger strongly connected component.
Data source Wikipedia pages  +
Doi 10.1109/WI.2006.164 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Temporal%2Banalysis%2Bof%2Bthe%2BWikigraph%22  +
Has author Luciana S. Buriol + , Carlos Castillo + , Debora Donato + , Stefano Leonardi + , Stefano Millozzi +
Has domain Computer science +
Has topic Vandalism + , Participation trends +
Pages 45-51  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence +
Research design Content analysis  + , Statistical analysis  +
Research questions "Wikigraph", a graph that represents the l"Wikigraph", a graph that represents the link structure of Wikipedia. The Wikigraph differs from other Web graphs studied in the literature by the fact that there are explicit timestamps associated with each node's events. This allows us to do a detailed analysis of the Wikipedia evolution over time. In the first part of this study we characterize this evolution in terms of users, editions and articles; in the second part, we depict the temporal evolution of several topological properties of the Wikigraph.l topological properties of the Wikigraph.
Revid 10,957  +
Theories Undetermined
Theory type Analysis  +
Title Temporal analysis of the Wikigraph
Unit of analysis Website  +
Url http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061340&tag=1  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type Article  + , History  +
Year 2006  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:30:38  +
Categories Vandalism  + , Participation trends  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:31:30  +
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