On centrality measures in graphs based on clustering
A. Saavedra-Nieves, E. Algaba Duran, P. Saavedra Nieves
The identification of cells in a terrorist network help to the surveillance means to efficiently identify the most operational members within the network, with the aim of destabilize the network and preventing potential attacks. In this talk we introduce a novel game theoretic approach that requires of the identification of those existing coalitional structures of players in networks. Based on clustering-graph techniques, it involves the estimation of solutions for TU games as the Owen value. The main advantage of this approach is that the internal organization of the terrorist network can be naturally justified from well-known clustering techniques that reflects, under several criteria, a communication structure. As an application, a ranking of the terrorists belonging to Zerkani network, responsible for the attacks in Paris (2015) and Brussels (2016), can be directly established.
Keywords: TU games, graph-based clustering, partition, Owen value, ranking
Scheduled
GT02 Game Theory I. Game theory, communication and distribution
June 9, 2022 10:10 AM
A14
Other papers in the same session
L. Davila Pena, I. García Jurado, B. Casas Méndez
J. Freixas Bosch
E. Algaba Duran, R. van den Brink
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