地理科学进展 ›› 2020, Vol. 39 ›› Issue (5): 792-803.doi: 10.18306/dlkxjz.2020.05.008

• 犯罪地理专栏 • 上一篇    下一篇

基于共同犯罪的犯罪人地域关系网络的空间演化及其影响因素——以北京市诈骗案件为例

朱冠宇, 陈鹏*()   

  1. 中国人民公安大学警务信息工程与网络安全学院,北京 100038
  • 收稿日期:2019-10-01 修回日期:2019-12-03 出版日期:2020-05-28 发布日期:2020-07-28
  • 通讯作者: 陈鹏 E-mail:chenpeng@ppsuc.edu.cn
  • 作者简介:朱冠宇(1996— ),男,山东枣庄人,硕士生,主要从事犯罪地理、社会网络分析方面的研究。E-mail:147288487@qq.com
  • 基金资助:
    北京市自然科学基金项目(9192022);社会安全风险感知与防控大数据应用国家工程实验室主任基金项目;中国人民公安大学基本科研业务费课题(2018JKF228);中国人民公安大学2019年拔尖人才培养专项资助硕士研究生科研创新项目(2019ssky002)

Spatial evolution and influencing factors of criminals’ cross-area co-offending network: An example of fraud in Beijing

ZHU Guanyu, CHEN Peng*()   

  1. School of Information Engineering and Cyber Security, People's Public Security University of China, Beijing 100038, China
  • Received:2019-10-01 Revised:2019-12-03 Online:2020-05-28 Published:2020-07-28
  • Contact: CHEN Peng E-mail:chenpeng@ppsuc.edu.cn
  • Supported by:
    National Natural Science Foundation of Beijing(9192022);National Engineering Laboratory Director Fund for Social Security Risk Perception and Prevention and Control of Large Data Applications;Subject of Fundamental Research Business Fees of People's Public Security University of China(2018JKF228);Top Talents Training Specialized Subsidy for Scientific Research and Innovation Projects of Master's Graduates of People's Public Security of China in 2019(2019ssky002)

摘要:

当前,学界从犯罪人之间的关系模式、关系结构等方面对共同犯罪现象进行了一系列的研究,但缺少对犯罪人地域关系的稳定性分析。论文根据北京市2005、2010、2014年街头诈骗案件数据,利用社会网络原理构建了基于共同犯罪的犯罪人地域关系网络模型,并利用网络分析等方法对参与共同犯罪的犯罪人地域关系网络的结构特征及其变化趋势进行了分析。结果表明:在2005—2014年间,参与北京市共同犯罪的犯罪人籍贯地域的空间分布逐渐集中,并形成了以华北地区为主、多个地域中心并存的格局;犯罪人的地域关系网络小世界效应逐渐增强,并从幂律分布模式向指数分布模式发展;参与共同犯罪的犯罪人群中,北京籍犯罪人的影响力逐渐下降,而河北籍犯罪人的影响力逐渐上升;犯罪人地域关系网络的凝聚子群结构逐渐发生两极分化,出现了少数共同犯罪关系异常密切的犯罪人地域子群结构。针对犯罪人地域关系网络形成及演化的原因,论文从外来人口社会关系重构与亚文化的角度进行了分析和解释,对进一步开展犯罪人的共同犯罪关系模式研究具有一定的启示。

关键词: 诈骗案件, 地域关系网络, 对比分析, 社会网络分析, 北京

Abstract:

A series of studies have been conducted on the phenomenon of co-offending from the aspects of relationship and relationship structure of offenders, but there is a lack of stability analysis on the regional relationship between offenders. Based on the data of the street fraud cases in Beijing in 2005, 2010, and 2014, this study constructed a regional relation network model of offenders based on the principle of social network, and analyzed the structural characteristics and changing trend of the regional relation network of offenders participating in co-offending by means of network analysis. The main results are as follows. The spatial distribution of origins of offenders participating in the co-offending in Beijing was gradually concentrated, and a pattern of coexistenting multicenters was formed with North China as the main area. The small-world effect of regional relation network of offenders gradually strengthened and developed from power-law distribution mode to exponential distribution mode. Among the offenders who participated in the co-offending, the influence of offenders from Beijing gradually decreased, while that of offenders from Hebei Province gradually increased. The cohesive subgroup structure of the regional relation network of offenders gradually polarized, and a few offender regional subgroup structures that are closely related to co-offending appeared. This study also explored the reasons for the existence and evolution of the cross-area co-offending network from the perspectives of social relation reconstruction and subculture of floating population. The results of this study have some implications for the further research on the relationship pattern of the offenders' co-offending.

Key words: fraud crime, regional relationship network, comparative analysis of changes, social network analysis, Beijing