Risk analysis sampling methods in terrorist networks based on the Banzhaf value

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)...

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Detalhes bibliográficos
Autores: Algaba Durán, Encarnación, Prieto García, Andrea Virginia, Saavedra-Nieves, Alejandro
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/146888
Acesso em linha:https://hdl.handle.net/11441/146888
https://doi.org/10.1111/risa.14156
Access Level:acceso abierto
Palavra-chave:Banzhaf value
Cooperative games
Networks
Ranking
Sampling
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spelling Risk analysis sampling methods in terrorist networks based on the Banzhaf valueAlgaba Durán, EncarnaciónPrieto García, Andrea VirginiaSaavedra-Nieves, AlejandroBanzhaf valueCooperative gamesNetworksRankingSamplingThis 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.WileyMatemática Aplicada IIRNM347: Geología y Geoquímica AmbientalMinisterio de Ciencia e Innovación (España) Grant/Award Number: PGC2018-097965-B-I00Ministerio de Ciencia e Innovación (España) Grant/Award Number: PID2021-124030NB-C32Xunta de Galicia, Grant/Award Number: ED431C 2021/24Ministerio de Ciencia, Innovación y Universidades (España) Grant/Award Number: MTM2017-87197-C3-3-P2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/146888https://doi.org/10.1111/risa.14156reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésPGC2018-097965-B-I00PID2021-124030NB-C32ED431C 2021/24MTM2017-87197-C3-3-Phttps://onlinelibrary.wiley.com/doi/10.1111/risa.14156info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1468882026-06-17T12:51:07Z
dc.title.none.fl_str_mv Risk analysis sampling methods in terrorist networks based on the Banzhaf value
title Risk analysis sampling methods in terrorist networks based on the Banzhaf value
spellingShingle Risk analysis sampling methods in terrorist networks based on the Banzhaf value
Algaba Durán, Encarnación
Banzhaf value
Cooperative games
Networks
Ranking
Sampling
title_short Risk analysis sampling methods in terrorist networks based on the Banzhaf value
title_full Risk analysis sampling methods in terrorist networks based on the Banzhaf value
title_fullStr Risk analysis sampling methods in terrorist networks based on the Banzhaf value
title_full_unstemmed Risk analysis sampling methods in terrorist networks based on the Banzhaf value
title_sort Risk analysis sampling methods in terrorist networks based on the Banzhaf value
dc.creator.none.fl_str_mv Algaba Durán, Encarnación
Prieto García, Andrea Virginia
Saavedra-Nieves, Alejandro
author Algaba Durán, Encarnación
author_facet Algaba Durán, Encarnación
Prieto García, Andrea Virginia
Saavedra-Nieves, Alejandro
author_role author
author2 Prieto García, Andrea Virginia
Saavedra-Nieves, Alejandro
author2_role author
author
dc.contributor.none.fl_str_mv Matemática Aplicada II
RNM347: Geología y Geoquímica Ambiental
Ministerio de Ciencia e Innovación (España) Grant/Award Number: PGC2018-097965-B-I00
Ministerio de Ciencia e Innovación (España) Grant/Award Number: PID2021-124030NB-C32
Xunta de Galicia, Grant/Award Number: ED431C 2021/24
Ministerio de Ciencia, Innovación y Universidades (España) Grant/Award Number: MTM2017-87197-C3-3-P
dc.subject.none.fl_str_mv Banzhaf value
Cooperative games
Networks
Ranking
Sampling
topic Banzhaf value
Cooperative games
Networks
Ranking
Sampling
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/146888
https://doi.org/10.1111/risa.14156
url https://hdl.handle.net/11441/146888
https://doi.org/10.1111/risa.14156
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv PGC2018-097965-B-I00
PID2021-124030NB-C32
ED431C 2021/24
MTM2017-87197-C3-3-P
https://onlinelibrary.wiley.com/doi/10.1111/risa.14156
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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