TY - GEN
T1 - Studying the structure of terrorist networks
T2 - 11th Americas Conference on Information Systems, AMCIS 2005
AU - Qin, Jialun
AU - Zhou, Yilu
AU - Xu, Jennifer J.
AU - Chen, Hsinchun
PY - 2005
Y1 - 2005
N2 - Because terrorist organizations often operate in network forms where individual terrorists collaborate with each other to carry out attacks, we could gain valuable knowledge about the terrorist organizations by studying structural properties of such terrorist networks. However, previous studies of terrorist network structure have generated little actionable results. This is 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 introduced the Web structural mining technique into the terrorist network analysis field which, to the best our knowledge, has never been done before. We employed the proposed technique on a Global Salafi Jihad network dataset collected through a large scale empirical study. Results from our analysis not only provide insights for terrorism research community but also support decision making in law-reinforcement, intelligence, and security domains to make our nation safer.
AB - Because terrorist organizations often operate in network forms where individual terrorists collaborate with each other to carry out attacks, we could gain valuable knowledge about the terrorist organizations by studying structural properties of such terrorist networks. However, previous studies of terrorist network structure have generated little actionable results. This is 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 introduced the Web structural mining technique into the terrorist network analysis field which, to the best our knowledge, has never been done before. We employed the proposed technique on a Global Salafi Jihad network dataset collected through a large scale empirical study. Results from our analysis not only provide insights for terrorism research community but also support decision making in law-reinforcement, intelligence, and security domains to make our nation safer.
KW - Social network analysis
KW - Terrorism
KW - Visualization
KW - Web structural mining
UR - http://www.scopus.com/inward/record.url?scp=84869797725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869797725&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869797725
SN - 9781604235531
T3 - Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale
SP - 523
EP - 530
BT - Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005
Y2 - 11 August 2005 through 15 August 2005
ER -