Construction and Spatial-Temporal Analysis of Crime Network: A Case Study on Burglary

A network construction method based on temporal-spatial influence is proposed. Then a crime transmission network based on the impact strength of nodes is constructed based on the method. The characteristic parameters of complex networks are introduced. The concept of degree, average degree, clustering coefficient and analysis of criminal network are carried out. The results show that degree of the nodes are related to the future crime rate, which can be used in crime forecasting; Distribution of node's degree has no scaling property. Burglary can also occur within areas rarely be infringed. And the degree of the node is closely related to the crime rate future. Therefore, even if the crime rate is relatively low, the district should also pay attention to the changes of node's degree; Coefficient of crime aggregation has predictability to the future crime rate. Higher aggregation coefficient means the state of crime may change in the future. The spatial-temporal characteristic of important nodes in crime prediction was analyzed at last.