Application of Crime Related Index Model in Violence Related Cases

In the era of big data, how to effectively mine and use relevant data to describe the behavior characteristics of criminals and the hierarchical structure of criminal gangs has become the top priority. However, there are few effective and efficient analyzing models for individual criminal cases. In this paper, KL divergence, social networks and other theories are used to build a model based on crime related index. By analyzing the characteristics of call behavior and the relationship between friends, the model designs index functions to measure highly related people. The actual application results of our model show that it is promising in criminal cases investigation and can effectively screen and analyze the data, quickly compare the similarity between the target characters and other characters, and find the key suspects to provide effective support for the study and analysis of the cases.