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Two-dimensional ranking of Wikipedia articles
Abstract The Library of Babel, described by Jorge LThe Library of Babel, described by Jorge Luis Borges, stores an enormous amount of information. The Library exists ab aeterno. Wikipedia, a free online encyclopaedia, becomes a modern analogue of such a Library. Information retrieval and ranking of Wikipedia articles become the challenge of modern society. While PageRank highlights very well known nodes with many ingoing links, CheiRank highlights very communicative nodes with many outgoing links. In this way the ranking becomes two-dimensional. Using CheiRank and PageRank we analyze the properties of two-dimensional ranking of all Wikipedia English articles and show that it gives their reliable classification with rich and nontrivial features. Detailed studies are done for countries, universities, personalities, physicists, chess players, Dow-Jones companies and other categories. Dow-Jones companies and other categories.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments it gives their reliable classification with rich and nontrivial features.
Conclusion The 2D ranking highlights the properties of articles in a new rich and fruitful manner. We think that such type of 2D ranking will find further useful applications for various complex networks including the WWW.
Data source Experiment responses  + , Wikipedia pages  +
Doi 10.1140/epjb/e2010-10500-7 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Two-dimensional%2Branking%2Bof%2BWikipedia%2Barticles%22  +
Has author A. O. Zhirov + , O. V. Zhirov + , D. L. Shepelyansky +
Has domain Computer science +
Has topic Ranking and clustering systems +
Month October  +
Peer reviewed Yes  +
Publication type Journal article  +
Published in The European Physical Journal B - Condensed Matter and Complex Systems +
Research design Experiment  +
Research questions Information retrieval and ranking of WikipInformation retrieval and ranking of Wikipedia articles become the challenge of modern society. While PageRank highlights very well known nodes with many ingoing links, CheiRank highlights very communicative nodes with many outgoing links. In this way the ranking becomes two-dimensional. Using CheiRank and PageRank we analyze the properties of two-dimensional ranking of all Wikipedia English articles and show that it gives their reliable classification with rich and nontrivial features.ication with rich and nontrivial features.
Revid 11,009  +
Theories Undetermined
Theory type Analysis  + , Design and action  +
Title Two-dimensional ranking of Wikipedia articles
Unit of analysis Article  +
Url http://dx.doi.org/10.1140/epjb/e2010-10500-7  +
Wikipedia coverage Main topic  +
Wikipedia data extraction Dump  +
Wikipedia language English  +
Wikipedia page type Article  +
Year 2010  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:31:58  +
Categories Ranking and clustering systems  + , Computer science  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:32:01  +
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