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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Analyzing terrorist networks: A case study of the global salafi jihad network
Organization Unit
Authors
  • Jialun Qin
  • Jennifer J Xu
  • Daning Hu
  • Marc Sageman
  • Hsinchun Chen
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-3-540-25999-2
ISSN 0302-9743
Page Range 287 - 304
Event Title the 3rd IEEE Conference on Intelligence and Security Informatics
Event Type conference
Event Location Atlanta, Georgia, USA
Event Start Date May 18 - 2005
Event End Date May 19 - 2005
Series Name Lecture Notes in Computer Science
Number 3495
Place of Publication Atlanta, Georgia, USA
Publisher Springer
Abstract Text 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.
Digital Object Identifier 10.1007/11427995_24
Other Identification Number merlin-id:6813
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