World influence and interactions of universities from Wikipedia networks
arXiv:1809.00332 · doi:10.1140/epjb/e2018-90532-7
Abstract
We present Wikipedia Ranking of World Universities (WRWU) based on analysis of networks of 24 Wikipedia editions collected in May 2017. With PageRank and CheiRank algorithms we determine ranking of universities averaged over cultural views of these editions. The comparison with the Shanghai ranking gives overlap of 60% for top 100 universities showing that WRWU gives more significance to their historical development. We show that the new reduced Google matrix algorithm allows to determine interactions between leading universities on a scale of ten centuries. This approach also determines the influence of specific universities on world countries. We also compare different cultural views of Wikipedia editions on significance and influence of universities.
arXiv commentMain article 17 pages, 22 figures, 10 tables; Supplementary Information 14 pages, 11 figures, 5 tables. Datasets, results, supplementary information, and high quality figures available at http://perso.utinam.cnrs.fr/~lages/datasets/WRWU17/
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