东北大学学报(自然科学版) ›› 2022, Vol. 43 ›› Issue (5): 632-638.DOI: 10.12068/j.issn.1005-3026.2022.05.004

• 信息与控制 • 上一篇    下一篇

犯罪与网络行为特征的映射研究

陆育卉1,2, 赵海1, 刘晓3, 施瀚1   

  1. (1. 东北大学 计算机科学与工程学院, 辽宁 沈阳110169; 2. 辽宁省葫芦岛市人民检察院, 辽宁 葫芦岛125000; 3. 北京百分点科技集团股份有限公司, 北京 100089)
  • 修回日期:2021-07-22 接受日期:2021-07-22 发布日期:2022-06-20
  • 通讯作者: 陆育卉
  • 作者简介:陆育卉(1984-),女,辽宁葫芦岛人,东北大学博士研究生; 赵海(1959-),男,辽宁沈阳人,东北大学教授,博士生导师.
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(2020GFZD014); 国家重点研发计划项目(2019JSJ12ZDYF01); 北京市博士后科研活动经费资助项目(2021-ZZ-092).

Research on the Mapping Between Crime and Network Behavior Characteristics

LU Yu-hui1,2, ZHAO Hai1, LIU Xiao3, SHI Han1   

  1. 1. School of Computer Science & Engineering, Northeastern University, Shenyang 110169, China; 2. People′s Procuratorate of Huludao City, Liaoning Province, Huludao 125000, China; 3. Beijing Percent Technology Group Co., Ltd., Beijing 100089, China.
  • Revised:2021-07-22 Accepted:2021-07-22 Published:2022-06-20
  • Contact: LU Yu-hui
  • About author:-
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摘要: 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.

关键词: 犯罪网络;网络行为特征;拓扑特征;中心性指标

Abstract: 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.

Key words: criminal network; network behavior characteristics; topological characteristics; central index

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