Two-dimensional ranking of Wikipedia articles
A.O.Zhirov, O.V.Zhirov, D.L.Shepelyansky
TL;DR
This paper introduces a two-dimensional ranking method for Wikipedia articles using PageRank and CheiRank, providing a more nuanced classification that reveals rich, nontrivial features across various categories.
Contribution
It develops and applies a combined PageRank and CheiRank approach to Wikipedia, offering a novel two-dimensional ranking system for better article classification.
Findings
Reveals nontrivial features in Wikipedia article categories.
Provides a reliable classification method for articles.
Analyzes properties of two-dimensional ranking in detail.
Abstract
The Library of Babel, described by Jorge Luis Borges, stores an enormous amount of information. The Library exists {\it 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.
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