Mining Key Members of Crime Networks Based on Personality Trait Simulation Email Analysis System

Abstract

It is a new paradigm to apply data mining technologies to analyze the crime groups and terrorist social networks,there is little work being done on analyzing the communication behavior of criminal and terrorist groups.This paper designed a simulation email system based on personality trait dimensions,called MEP,to model the email users' traffic behavior,proposed a new approach of computing the weight of each dimension in a personality trait vector by using personality trait judge matrix,and simulated the real-world email communication behavior based on normal distribution model satisfying users' personality trait.This paper proposed a social network analysis based algorithm called CNKM(Crime Network Key Member mining) to mine key members of a crime group,and employed time-series analysis techniques to discover the email sending and receiving rules in order to detect the abnormal communication cases.The experimental results show the efficiency and usability of the simulation email analysis system,the average simulation error is less than 10%,and demonstrate that CNKM is efficient.