International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 112 - Issue 9 |
Published: February 2015 |
Authors: Pankaj Choudhary, Upasna Singh |
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Pankaj Choudhary, Upasna Singh . A Survey on Social Network Analysis for Counter-Terrorism. International Journal of Computer Applications. 112, 9 (February 2015), 24-29. DOI=10.5120/19695-1455
@article{ 10.5120/19695-1455, author = { Pankaj Choudhary,Upasna Singh }, title = { A Survey on Social Network Analysis for Counter-Terrorism }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 112 }, number = { 9 }, pages = { 24-29 }, doi = { 10.5120/19695-1455 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Pankaj Choudhary %A Upasna Singh %T A Survey on Social Network Analysis for Counter-Terrorism%T %J International Journal of Computer Applications %V 112 %N 9 %P 24-29 %R 10.5120/19695-1455 %I Foundation of Computer Science (FCS), NY, USA
Terrorist Activities worldwide has approached the evolution of various high-ended methodologies for analyzing terrorist groups and networks. Existing research found that Social Network Analysis (SNA) is one of the most effective and predictive method for countering terrorism in social networks. The study reviewed various SNA measures for predicting the key players/ main actors of terrorist network in terms of global as well as Indian perspective. Comparative study among SNA tools demonstrated the applicability and feasibility for online and offline social networks. It is recommended to incorporate temporal analysis using data mining methods. It can enhance the capability of SNA for handing dynamic behavior of online social networks.