The Analysis on the Role of Social Network in the Field of Anti-Terrorism Take the "East Turkistan" Organization as an Example

In order to analyze the network structure of the “East Turkistan” organization and identify members with higher individual threats, so as to conduct a better attack on the “East Turkistan” organization. We use Gephi, a network analysis software, and collect open source information on three batches of 25 terrorists announced by the Ministry of Public Security and use networkX, a Python package to study the structure of complex networks, to conduct social network analysis(SNA) of the “East Turkistan” organization personnel. The “East Turkistan” organization presents a combination of scale-free network and hierarchical network in the topological structure. To manifest the analysis of social network methods' importance in combating terrorism, we simulate the effect of removing the core members of the “East Turkistan” organization. The construction of SNA requires a large deal of open source information. How to obtain intelligence is an important factor that restricts precision strikes. In addition, how to combine social network analysis with computer deep learning knowledge is also a new hot spot and direction in the field of anti-terrorism.