2016/12/31 by Klaus M. Frahm, Samer El Zant, Katia Jaffrès-Runser +1 · 1 citation
Computer Science · Physics and Astronomy · #cs.SI #nlin.CD #physics.soc-ph
paper · pdf · doi:10.1016/j.physleta.2017.06.021
published as Physics Letters A 381 (2017) 2677-2685 · 12 Pages, 6 figures, final version with slight modifications, accepted for publication in Physics Letters A. arXiv admin note: text overlap with arXiv:1609.01948
arxiv created 2017/06/13 · arxiv updated 2017/07/21
Geopolitics focuses on political power in relation to geographic space. Interactions among world countries have been widely studied at various scales, observing economic exchanges, world history or international politics among others. This work exhibits the potential of Wikipedia mining for such studies. Indeed, Wikipedia stores valuable fine-grained dependencies among countries by linking webpages together for diverse types of interactions (not only related to economical, political or historical facts). We mine herein the Wikipedia networks of several language editions using the recently proposed method of reduced Google matrix analysis. This approach allows to establish direct and hidden links between a subset of nodes that belong to a much larger directed network. Our study concentrates on 40 major countries chosen worldwide. Our aim is to offer a multicultural perspective on their interactions by comparing networks extracted from five different Wikipedia language editions, emphasizing English, Russian and Arabic ones. We demonstrate that this approach allows to recover meaningful direct and hidden links among the 40 countries of interest.