doi: 10.4304/jsw.2.6.22-29
Destabilization of Terrorist Networks through Argument Driven Hypothesis Model
- Information & Security Analysis Research Centre Department of Software Engineering & Media Technology, Aalborg University Esbjerg, Denmark
Abstract
Social network analysis has been used for quitesome time to analyze and understand the behavior of nodesin the network. Theses nodes could be individuals or groupof persons, events or organizations etc. Infact these nodescould be any thing importantly, these nodes propagate andobviously have attributes. In this paper a very novel andabsolutely new approach to SNA is presented, for locatingthe important key players in the network. The system alsopredicts a path comprising of selected nodes which showsthe vulnerability of the network and if the path along withthese nodes is removed it can reduce/destabilize or evendestroy the structure of the network. The paper providescomparative results for a couple of random networks withvarious numbers of nodes and connections. In addition tothese example networks it performs a case study of the nineeleven, 62 node networks (by Valdis E. Krebs) to predict apath for its destabilization. This network is selected tobenchmark our proposed model framework. The resultsobtained with various network analysis shows that it worksbetter than other analysis measures for example based ondegree, betweeness and closeness etc.
Keywords
- Social Network Analysis
- Terrorism
- Model
How to Cite
Dil Muhammad Akbar Hussain, "Destabilization of Terrorist Networks through Argument Driven Hypothesis Model," Journal of Software, vol. 2, no. 6, pp. 22-29, 2007. https://doi.org/ 10.4304/jsw.2.6.22-29
Copyright & License
Copyright © 2007 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).