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Wikipedia is a huge global repository of human knowledge, that can beleveraged to investigate interwinements between cultures. With this aim, weapply methods of Markov chains and Google matrix, for the analysis of thehyperlink networks of 24 Wikipedia language editions, and rank all theirarticles by PageRank, 2DRank and CheiRank algorithms. Using automaticextraction of people names, we obtain the top 100 historical figures, for eachedition and for each algorithm. We investigate their spatial, temporal, andgender distributions in dependence of their cultural origins. Our studydemonstrates not only the existence of skewness with local figures, mainlyrecognized only in their own cultures, but also the existence of globalhistorical figures appearing in a large number of editions. By determining thebirth time and place of these persons, we perform an analysis of the evolutionof such figures through 35 centuries of human history for each language, thusrecovering interactions and entanglement of cultures over time. We also obtainthe distributions of historical figures over world countries, highlightinggeographical aspects of cross-cultural links. Considering historical figureswho appear in multiple editions as interactions between cultures, we constructa network of cultures and identify the most influential cultures according tothis network.

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