RT Journal Article
T1 Risk analysis sampling methods in terrorist networks based on the Banzhaf value
A1 Algaba Durán, Encarnación
A1 Prieto, Andrea
A1 Saavedra Nieves, Alejandro
K1 Banzhaf value
K1 Cooperative games
K1 Networks
K1 Ranking
K1 Sampling
AB This article introduces the Banzhaf and the Banzhaf–Owen values as novel measures of risk analysis of a terrorist attack, determining the most dangerous terrorists in a network. This new approach counts with the advantage of integrating at the same time the complete topology (i.e., nodes and edges) of the network and a coalitional structure on the nodes of the network. More precisely, the characteristics of the nodes (e.g., terrorists) of the network and their possible relationships (e.g., types of communication links), as well as coalitional information (e.g., level of hierarchies) independent of the network. First, for these two new measures of risk analysis, we provide and implement approximation algorithms. Second, as illustration, we rank the members of the Zerkani network, responsible for the attacks in Paris (2015) and Brussels (2016). Finally, we give a comparison between the rankings established by the Banzhaf and the Banzhaf–Owen values as measures of risk analysis
PB Wiley
SN 0272-4332
YR 2023
FD 2023
LK http://hdl.handle.net/10347/30799
UL http://hdl.handle.net/10347/30799
LA eng
NO Algaba, E., Prieto, A., & Saavedra-Nieves, A. (2023). Risk analysis sampling methods in terrorist networks based on the Banzhaf value. Risk Analysis, 1–16. https://doi.org/10.1111/risa.14156
NO Ministerio de Ciencia e Innovación, Grant/Award Numbers: PGC2018-097965-B-I00, PID2021-124030NB-C32; Xunta de Galicia, Grant/Award Number: ED431C 2021/24; Ministerio de Ciencia, Innovación y Universidades, Grant/Award Number: MTM2017-87197-C3-3-P
DS Minerva
RD 24 abr 2026