PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (5): 792-803.doi: 10.18306/dlkxjz.2020.05.008

• Special Column: Crime Geography • Previous Articles     Next Articles

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
  • 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)


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