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Analyzing terrorist networks: A case study of the global salafi jihad network


Qin, Jialun; Xu, Jie; Hu, Daning; Sageman, Marc; Chen, Hsinchun (2005). Analyzing terrorist networks: A case study of the global salafi jihad network. In: the 3rd IEEE Conference on Intelligence and Security Informatics , Atlanta, Georgia, USA, 18 May 2005 - 19 May 2005, 287-304.

Abstract

It is very important for us to understand the functions and structures of terrorist networks to win the battle against terror. However, previous studies of terrorist network structure have generated little actionable results. This is mainly due to the difficulty in collecting and accessing reliable data and the lack of advanced network analysis methodologies in the field. To address these problems, we employed several advance network analysis techniques ranging from social network analysis to Web structural mining on a Global Salafi Jihad network dataset collected through a large scale empirical study. Our study demonstrated the effectiveness and usefulness of advanced network techniques in terrorist network analysis domain. We also introduced the Web structural mining technique into the terrorist network analysis field which, to the best our knowledge, has never been used in this domain. More importantly, the results from our analysis provide not only insights for terrorism research community but also empirical implications that may help law-reinforcement, intelligence, and security communities to make our nation safer.

Abstract

It is very important for us to understand the functions and structures of terrorist networks to win the battle against terror. However, previous studies of terrorist network structure have generated little actionable results. This is mainly due to the difficulty in collecting and accessing reliable data and the lack of advanced network analysis methodologies in the field. To address these problems, we employed several advance network analysis techniques ranging from social network analysis to Web structural mining on a Global Salafi Jihad network dataset collected through a large scale empirical study. Our study demonstrated the effectiveness and usefulness of advanced network techniques in terrorist network analysis domain. We also introduced the Web structural mining technique into the terrorist network analysis field which, to the best our knowledge, has never been used in this domain. More importantly, the results from our analysis provide not only insights for terrorism research community but also empirical implications that may help law-reinforcement, intelligence, and security communities to make our nation safer.

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14 citations in Web of Science®
29 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:19 May 2005
Deposited On:20 Jul 2012 12:30
Last Modified:13 Aug 2017 06:29
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:3495
ISSN:0302-9743
ISBN:978-3-540-25999-2
Publisher DOI:https://doi.org/10.1007/11427995_24
Other Identification Number:merlin-id:6813

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