Wikipedia Ranking of World Universities
Jos\'e Lages, Antoine Patt, Dima L. Shepelyansky
TL;DR
This paper introduces a novel university ranking method based on Wikipedia's multilingual network analysis, providing a culturally inclusive perspective that aligns well with established rankings and offers historical insights.
Contribution
It develops a new university ranking approach using Wikipedia's network algorithms, integrating diverse cultural views and historical data for a comprehensive assessment.
Findings
WRWU overlaps 60% with Shanghai ranking
It highlights historically significant universities
Provides insights into countries' university efficiency
Abstract
We use the directed networks between articles of 24 Wikipedia language editions for producing the Wikipedia Ranking of World Universities (WRWU) using PageRank, 2DRank and CheiRank algorithms. This approach allows to incorporate various cultural views on world universities using the mathematical statistical analysis independent of cultural preferences. The Wikipedia ranking of top 100 universities provides about 60 percent overlap with the Shanghai university ranking demonstrating the reliable features of this approach. At the same time WRWU incorporates all knowledge accumulated at 24 Wikipedia editions giving stronger highlights for historically important universities leading to a different estimation of efficiency of world countries in university education. The historical development of university ranking is analyzed during ten centuries of their history.
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