ISSN : 1796-217X
Volume : 2    Issue : 6    Date : December 2007

Destabilization of Terrorist Networks through Argument Driven Hypothesis Model
Dil Muhammad Akbar Hussain
Page(s): 22-29
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Social network analysis has been used for quite some time to analyze and understand the behavior
of nodes in the network. Theses nodes could be individuals or group of persons, events or
organizations etc. In fact these nodes could be any thing importantly, these nodes propagate and
obviously have attributes. In this paper a very novel and absolutely new approach to SNA is
presented, for locating the important key players in the network. The system also predicts a path
comprising of selected nodes which shows the vulnerability of the network and if the path along with
these nodes is removed it can reduce/destabilize or even destroy the structure of the network. The
paper provides comparative results for a couple of random networks with various numbers of nodes
and connections. In addition to these example networks it performs a case study of the nine eleven,
62 node networks (by Valdis E. Krebs) to predict a path for its destabilization. This network is
selected to benchmark our proposed model framework. The results obtained with various network
analysis shows that it works better than other analysis measures for example based on degree,
betweeness and closeness etc.

Index Terms
Social Network Analysis, Terrorism, Models, Intellective simulation model.