DocumentCode :
2098023
Title :
Discovering Hierarchical Structure in Terrorist Networks
Author :
Shaikh, Muhammad Akram ; Jiaxin, Wang
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
fYear :
2006
fDate :
13-14 Nov. 2006
Firstpage :
238
Lastpage :
244
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
Keywords :
complex networks; eigenvalues and eigenfunctions; hierarchical systems; terrorism; degree centrality; discovering hierarchical structure; eigenvector centrality; network structure; terrorist networks; terrorist organizations; Complex networks; Computer science; Information analysis; Joining processes; Lattices; Social network services; Symmetric matrices; Terrorism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies, 2006. ICET '06. International Conference on
Conference_Location :
Peshawar
Print_ISBN :
1-4244-0502-5
Electronic_ISBN :
1-4244-0503-3
Type :
conf
DOI :
10.1109/ICET.2006.335966
Filename :
4136933
Link To Document :
بازگشت