Analysis of world terror networks from the reduced Google matrix of Wikipedia
Samer El Zant, Klaus M. Frahm, Katia Jaffres-Runser, Dima L., Shepelyansky

TL;DR
This paper uses the reduced Google matrix method on Wikipedia data to analyze interactions between terrorist groups and countries, revealing their influence and relationships in a complex network structure.
Contribution
It introduces a novel application of the reduced Google matrix to study terrorist networks and their geopolitical influence using Wikipedia data.
Findings
Identified key terrorist groups and their influence on countries.
Mapped direct and hidden links between terrorist groups and nations.
Demonstrated the method's potential for analyzing complex network data.
Abstract
We apply the reduced Google matrix method to analyse interactions between 95 terrorist groups and determine their relationships and influence on 64 world countries. This is done on the basis of the Google matrix of the English Wikipedia (2017) composed of 5416537 articles which accumulate a great part of global human knowledge. The reduced Google matrix takes into account the direct and hidden links between a selection of 159 nodes (articles) appearing due to all paths of a random surfer moving over the whole network. As a result we obtain the network structure of terrorist groups and their relations with selected countries. Using the sensitivity of PageRank to a weight variation of specific links we determine the geopolitical sensitivity and influence of specific terrorist groups on world countries. We argue that this approach can find useful application for more extensive and detailed…
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