Abstract
Apply intelligent information technologies to anti-crime and anti-terrorism is a hot topic in security bureaus of different countries. Social Network Analysis is a promising method to analyze terrorist network structures. Yet, the method is inadequate to process the dynamic property of terrorist networks. This paper proposes an approach combining Agent simulation and Social Network Analysis so that the dynamic property of terrorist networks can be handled. We collect criminal data to construct numbers of virtual terrorist networks. A series of experiments have been conducted using real terrorist network data to verify the effectiveness of the proposed approach. The experimental results show that our approach can use to evaluate a number of strategies for destabilization of terrorist organizations.
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Notes
- 1.
http://vlado.fmf.uni-lj.si/pub/networks/data/Ucinet/UciData.htm 2008.
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Zhong, D., Hu, G. (2013). Dynamic Analysis of Terrorism Using Artificial Intelligence Techniques: A Case Study. In: Xu, B. (eds) 2012 International Conference on Information Technology and Management Science(ICITMS 2012) Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34910-2_81
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DOI: https://doi.org/10.1007/978-3-642-34910-2_81
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