犯罪与网络行为特征的映射研究

选取美国芝加哥2012—2017年的盗窃、抢劫、毒品案件进行研究.提出一种基于时空影响域的犯罪网络构造方法，并针对犯罪表现的行为特征与网络行为特征进行映射分析.实验结果表明，所提方法构造的犯罪网络在不同犯罪类型、不同网络规模下均表现出无标度性、小世界特征;局部呈现高聚集性，并体现不同的聚集特点;犯罪网络社团化的程度明显.因此，可以利用复杂网络手段，对犯罪网络建模与拓扑特征分析方面作进一步深入探讨，对不同犯罪模式的动力学研究以及预防和资源配置提供新思路.

Research on the Mapping Between Crime and Network Behavior Characteristics

Thefts， robberies and drug cases from 2012 to 2017 in Chicago，United States are selected to study. A method of constructing criminal network based on spatio-temporal influence domain is proposed， and the mapping analysis is carried out according to the behavior characteristics of criminal manifestation and network behavior characteristics. The experimental results show that the criminal networks constructed by the proposed method exhibit scale-free and small-world characteristics under different crime types and different network scales. The local area showed high aggregation and different aggregation characteristics. The degree of corporatization of criminal networks is obvious. It can be seen that complex network means can be used to conduct further in-depth discussion on criminal network modeling and topological characteristics analysis， so as to provide new ideas for the dynamics study of different criminal patterns， prevention and resource allocation.