Dissertation > Political, legal > Diplomacy, international relations > International relations > International issues > International security issues,the international anti-terrorism,counter-narcotics activities

Individual Threat Index Based Key Member Detecting Research in Covert Network

Author ShangZuo
Tutor SunDuoYong
School National University of Defense Science and Technology
Course Public Administration
Keywords Social Network Analysis Terrorism Individual Threat Index
CLC D815.5
Type Master's thesis
Year 2011
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Social network analysis (SNA), also known as network analysis, structural analysis or interpersonal relationship research, is a methodological form of analysis that is based on mathematical, psychological, anthropological, and sociological applications of interaction and communication. This framework used dots indicates social entities and lines represent their social relations, it aims to connect the dots between entities and“map and measure complex, sometimes covert, human groups and organizations .Sine 9-11,counter-terrorism has been the main topic in the world,while academia has focused on applying Social Network Analysis to it. With the development of global counter-terrorism, the structure of terrorist organization has changed dramatically, the traditional hierarchy being replaced by covert network, which has become the basic to terrorists survive and acting destructions. Due to the loose structure, cover links between members, and hidden hierarchy, it s difficult to detect the key members of terrorist network. To find an effect way to destroy the terrorist network, academics use data collection and models, doing large quantity of researches to the terrorist events happened worldwide.Firstly, this essay constructed the social attribute system based on the terrorists characteristics, and proposing the approach to construct the network attribute system based on the concept of centrality. Secondly, we discussed the construction of the Individual Threat Index in the perspective of Social Network Analysis. Finally, we empirically study the cases related to East Turkistan, constructing the terrorists network, applying Individual Threat Index to estimate the terrorists, and detecting the key members of the network, in the hope of finding the effective way to destroy the terrorist network.

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