Discovering Gangs of Criminals Using Data Fusion With Social Networks
Jie Yang, Huadong Wang · International Journal of Database Theory and Application · 2016
Data mining technologies have been effectively applied to public security organizations and could help with the investigations. Among which, discovering and fighting against the gangs of criminals helps to the construction of peaceful and united environment. In this paper, we focus on the problem of discovering the gangs of criminals by integrating multiple data sources including the residential profiles from the public security bureau, the transfer data of banking accounts, the communication data from telecommunication operators, and the social interaction data from social networks. After employing a label propagation based method to discover communities in the criminal network, members within each group are ranked by their significance. Experiments exhibit the performance of proposed method.