Two-dimensional ranking of Wikipedia articles

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.

RevTex 9 pages, data, discussion added, more data at http://www.quantware.ups-tlse.fr/QWLIB/2drankwikipedia/

References in corpus (8)

• Statistical mechanics of complex networks
• The structure of scientific collaboration networks
• Evolution of networks
• Citation Statistics from 110 Years of Physical Review
• Diffusion of scientific credits and the ranking of scientists
• Preferential attachment in the growth of social networks: the case of Wikipedia
• Wikipedias: Collaborative web-based encyclopedias as complex networks
• Towards physical laws for software architecture

Cited by in corpus (37)

• Ranking in evolving complex networks
• Google matrix analysis of directed networks
• Interactions of cultures and top people of Wikipedia from ranking of 24 language editions
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• Wikipedia Ranking of World Universities
• Opinion formation driven by PageRank node influence on directed networks
• Highlighting Entanglement of Cultures via Ranking of Multilingual Wikipedia Articles
• Google matrix analysis of the multiproduct world trade network
• World influence and interactions of universities from Wikipedia networks
• Spectral properties of Google matrix of Wikipedia and other networks
• Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data
• Towards two-dimensional search engines
• Time evolution of Wikipedia network ranking
• Ising-PageRank model of opinion formation on social networks
• Universal Emergence of PageRank
• Structure-based approach to identifying small sets of driver nodes in biological networks
• Google matrix of Twitter
• Black Hole Metric: Overcoming the PageRank Normalization Problem
• Capturing the influence of geopolitical ties from Wikipedia with reduced Google matrix
• COVID-19 impact on the international trade
• Google matrix of the world network of economic activities
• Google matrix of the citation network of Physical Review
• Interactions and influence of world painters from the reduced Google matrix of Wikipedia networks
• Google matrix analysis of DNA sequences
• Multi-cultural Wikipedia mining of geopolitics interactions leveraging reduced Google matrix analysis
• World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network
• Google matrix of business process management
• Interdependence of sectors of economic activities for world countries from the reduced Google matrix analysis of WTO data
• Structure-based approach can identify driver nodes in ensembles of biologically-inspired Boolean networks
• Opinion formation in the world trade network
• Move ordering and communities in complex networks describing the game of go
• The "Tournaments" Metaphor in Citation Impact Studies: Power-Weakness Ratios (PWR) as a Journal Indicator
• Poisson statistics of PageRank probabilities of Twitter and Wikipedia networks
• Scholia and scientometrics with Wikidata
• Google matrix analysis of C.elegans neural network
• Relations of society concepts and religions from Wikipedia networks