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Interactions of cultures and top people of Wikipedia from ranking of 24 language editions

Eom, Young-Ho and Aragón, Pablo and Laniado, David and Kaltenbrunner, Andreas and Vigna, Sebastiano and Shepelyansky, Dima L. Interactions of cultures and top people of Wikipedia from ranking of 24 language editions. Working Paper # /2014 ArXiv (Unpublished)

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Wikipedia is a huge global repository of human knowledge, that can be leveraged to investigate interwinements between cultures. With this aim, we apply methods of Markov chains and Google matrix, for the analysis of the hyperlink networks of 24 Wikipedia language editions, and rank all their articles by PageRank, 2DRank and CheiRank algorithms. Using automatic extraction of people names, we obtain the top 100 historical figures, for each edition and for each algorithm. We investigate their spatial, temporal, and gender distributions in dependence of their cultural origins. Our study demonstrates not only the existence of skewness with local figures, mainly recognized only in their own cultures, but also the existence of global historical figures appearing in a large number of editions. By determining the birth time and place of these persons, we perform an analysis of the evolution of such figures through 35 centuries of human history for each language, thus recovering interactions and entanglement of cultures over time. We also obtain the distributions of historical figures over world countries, highlighting geographical aspects of cross-cultural links. Considering historical figures who appear in multiple editions as interactions between cultures, we construct a network of cultures and identify the most influential cultures according to this network.

Item Type: Working Paper (Working Paper)
Additional Information: Accepted by reviewers in PLoS ONE and under technical check of the journal
Subjects: H Social Sciences > HA Statistics
Q Science > QC Physics
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 03 Dec 2014 14:04
Last Modified: 18 Dec 2014 13:53
URI: http://eprints.imtlucca.it/id/eprint/2393

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