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清华大学学报(自然科学版)  2020, Vol. 60 Issue (4): 328-333    DOI: 10.16511/j.cnki.qhdxxb.2019.26.045
  物理与物理工程 本期目录 | 过刊浏览 | 高级检索 |
典型拐卖妇女犯罪团伙网络特征分析
黄忠良1,2, 翁文国1,2
1. 清华大学 工程物理系, 公共安全研究院, 北京 100084;
2. 城市综合应急科学北京市重点实验室, 北京 100084
Social network analysis of typical women trafficking networks
HUANG Zhongliang1,2, WENG Wenguo1,2
1. Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
2. Beijing Key Laboratory of City Integrated Emergency Response Science, Tsinghua University, Beijing 100084, China
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摘要 拐卖妇女犯罪严重危害社会秩序和公共安全。该文按照受害人特征将拐卖妇女案件划分为3类,并分别选取一个典型案件构建拐卖妇女犯罪网络,利用社会网络分析方法分析了其整体特征、成员特征和共同犯罪的影响因素。结果表明:拐卖妇女犯罪网络呈现出星型结构的特征,具有明显的"核心-边缘"结构。共同的国籍或地域来源以及亲属、熟人等关系对共同犯罪具有正向影响。研究可以为警方预防、控制和打击拐卖妇女犯罪提供参考。
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黄忠良
翁文国
关键词 拐卖妇女犯罪网络社会网络分析度分布核心-边缘结构二次指派程序回归    
Abstract:Women trafficking is a very serious problem in China which disrupts social order and endangers public security. Women trafficking cases were divided into three categories according to the characteristics of the victims with one typical case selected from each category to construct the trafficking networks. Then, the entire network characteristics including the actors' characteristics and the factors influencing co-offending were studied. The results show that the trafficking networks present a star-shaped structure with clear core-periphery structures. Co-offending is more likely to take place within the same nationality or native place. In addition, there is a significant positive effect of kinship on the co-offending. The findings in this paper provide a reference to help police prevent, control and combat women trafficking.
Key wordswomen trafficking    crime networks    social network analysis    degree distribution    core-periphery structure    quadratic assignment procedure regression
收稿日期: 2019-05-31      出版日期: 2020-04-03
基金资助:国家杰出青年科学基金资助项目(71725006)
通讯作者: 翁文国,教授,E-mail:wgweng@tsinghua.edu.cn     E-mail: wgweng@tsinghua.edu.cn
引用本文:   
黄忠良, 翁文国. 典型拐卖妇女犯罪团伙网络特征分析[J]. 清华大学学报(自然科学版), 2020, 60(4): 328-333.
HUANG Zhongliang, WENG Wenguo. Social network analysis of typical women trafficking networks. Journal of Tsinghua University(Science and Technology), 2020, 60(4): 328-333.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2019.26.045  或          http://jst.tsinghuajournals.com/CN/Y2020/V60/I4/328
  图1 不同类型拐卖妇女案件平均涉案人数
  表1 典型案件基本信息
  图2 外籍案件中人员网络拓扑结构
  表2 3个典型案件人员网络的整体特征
  图3 3个网络中人员的相对中心度分布
  图4 3个网络的密度随移除核心成员比例的变化
  表3 外籍案件中拐卖者关系数据 QAP回归分析结果
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