Detecting key individuals in terrorist network based on FANP model

This article focuses on the study of detecting key individuals in terrorist network, combining the theories and algorithms of Social Network Analysis (SNA), Multi-meta Network Analysis and Fuzzy Analytical Network Process (FANP). Firstly an index system is built and then within this system the scores of terrorists are calculated, referencing the measures (total degree, betweenness, closeness, etc) of the network computed by ORA. By adding the artificial judgment and fuzzy science to the traditional analysis of terrorist network, it is believed to be a good method to meet the covert situation, where the information is uncertain and inaccurate. By studying the case of embassy bombing in Kenya and Tanzania, we are confident that the model can help intelligence and counterterrorism agencies to detect who are the key individuals in the terrorist network.