Title :
Evolution of Terrorist Network Using Clustered Approach: A Case Study
Author :
Nizamani, Sarwat ; Memon, Nasrullah
Author_Institution :
Maersk Mc-Kinney Moller Inst., Univ. of Southern, Odense, Denmark
Abstract :
In the paper we present a cluster based approach for terrorist network evolution. We have applied hierarchical agglomerative clustering approach to 9/11 case study. We show that, how individual actors who are initially isolated from each other are converted in small clusters and result in a fully evolved network. This method of network evolution can help intelligence security analysts to understand the structure of the network.
Keywords :
graph theory; national security; pattern clustering; terrorism; 9/11 case study; graph; hierarchical agglomerative clustering approach; intelligence security analysts; terrorist network evolution; Clustering algorithms; Communities; Data visualization; Educational institutions; Hidden Markov models; Social network services; Terrorism; Communities; graph; hierarchical agglomerative clustering; terrorist networks;
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2011 European
Conference_Location :
Athens
Print_ISBN :
978-1-4577-1464-1
Electronic_ISBN :
978-0-7695-4406-9
DOI :
10.1109/EISIC.2011.10
