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- W2022266384 abstract "The network structure of a group determines its strengths and weaknesses. A general knowledge of the prevalent models of terrorist organizations and its analysis methods leads to a better understanding of their capabilities. One important method is centrality analysis, which determines the relative importance of vertices (terrorists) in a network based on their connectivity within the network structure. In this paper, we address the hierarchy property sharing among a large amount of networks. Based upon the degree centrality (DC) and eigenvector centrality (EC) measure, a method is proposed to discover the hierarchical structure of a terrorist network. This hierarchical structure sheds light on the leadership and the likely sub groups embedded in the network" @default.
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- W2022266384 date "2006-01-01" @default.
- W2022266384 modified "2023-09-25" @default.
- W2022266384 title "Discovering Hierarchical Structure in Terrorist Networks" @default.
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- W2022266384 doi "https://doi.org/10.1109/icet.2006.335966" @default.
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