| Abstract
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The Library of Babel, described by Jorge L … The 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.
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| Added by wikilit team
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Added on initial load +
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| Collected data time dimension
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Cross-sectional +
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| Comments
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it gives their reliable classification with rich and nontrivial features.
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| Conclusion
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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.
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| Data source
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Experiment responses +
, Wikipedia pages +
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| Doi
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10.1140/epjb/e2010-10500-7 +
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| Google scholar url
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http://scholar.google.com/scholar?ie=UTF-8&q=%22Two-dimensional%2Branking%2Bof%2BWikipedia%2Barticles%22 +
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| Has author
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A. O. Zhirov +
, O. V. Zhirov +
, D. L. Shepelyansky +
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| Has domain
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Computer science +
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| Has topic
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Ranking and clustering systems +
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| Month
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October +
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| Peer reviewed
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Yes +
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| Publication type
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Journal article +
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| Published in
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The European Physical Journal B - Condensed Matter and Complex Systems +
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| Research design
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Experiment +
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| Research questions
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Information retrieval and ranking of Wikip … 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.ication with rich and nontrivial features.
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| Revid
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11,009 +
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| Theories
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Undetermined
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| Theory type
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Analysis +
, Design and action +
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| Title
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Two-dimensional ranking of Wikipedia articles
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| Unit of analysis
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Article +
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| Url
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http://dx.doi.org/10.1140/epjb/e2010-10500-7 +
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| Wikipedia coverage
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Main topic +
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| Wikipedia data extraction
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Dump +
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| Wikipedia language
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English +
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| Wikipedia page type
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Article +
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| Year
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2010 +
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| Creation dateThis property is a special property in this wiki.
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15 March 2012 20:31:58 +
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| Categories |
Ranking and clustering systems +
, Computer science +
, Publications +
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| Modification dateThis property is a special property in this wiki.
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30 January 2014 20:32:01 +
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