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

PloS One
Young-Ho EomDima L Shepelyansky

Abstract

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 interactio...Continue Reading

References

Dec 16, 2005·Nature·Jim Giles
Jul 9, 2011·PloS One·Linyuan LüTao Zhou
Jun 30, 2012·PloS One·Taha YasseriJános Kertész
May 15, 2013·PloS One·Vivek Kandiah, Dima L Shepelyansky
Oct 8, 2013·PloS One·Young-Ho Eom, Dima L Shepelyansky

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Citations

Nov 15, 2017·Royal Society Open Science·Kristina BanZoran Levnajić
Oct 20, 2020·Proceedings. Mathematical, Physical, and Engineering Sciences·Cristian ConsonniAlberto Montresor

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Software Mentioned

2DRank
LeaderRank
WikiData
Wikimedia
PageRank
Wikipedia
CheiRank

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