地理科学 ›› 2021, Vol. 41 ›› Issue (6): 1079-1087.doi: 10.13249/j.cnki.sgs.2021.06.017

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县域尺度中国网络诈骗时空分布特征研究

项金桥1,2(), 高春东3,4, 马甜3,4, 江东3,4, 郝蒙蒙3,4, 陈帅3,4,*()   

  1. 1.武汉大学法学院,湖北 武汉 430072
    2.湖北省人民检察院,湖北 武汉 430079
    3.中国科学院地理科学与资源研究所,北京 100101
    4.中国科学院公安部网络空间地理学实验室,北京 100101
  • 收稿日期:2020-10-22 修回日期:2021-01-29 接受日期:2021-01-29 出版日期:2021-06-10 发布日期:2021-08-13
  • 通讯作者: 陈帅 E-mail:106275904@qq.com;chens.17s@igsnrr.ac.cn
  • 作者简介:项金桥(1973‒),男,湖北武汉人,博士研究生,主要从事个人信息司法保护研究。E-mail: 106275904@qq.com
  • 基金资助:
    国家重点研发计划项目(2020YFB1806500)

Spatial-temporal Distribution Characteristics of Cyber Fraud in China on County Scale

Xiang Jinqiao1,2(), Gao Chundong3,4, Ma Tian3,4, Jiang Dong3,4, Hao Mengmeng3,4, Chen Shuai3,4,*()   

  1. 1. School of Law, Wuhan University, Wuhan 430072, Hubei, China
    2. The People’s Procuratorate of Hubei, Wuhan 430079, Hubei, China
    3. Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    4. Laboratory of Cyberspace Geography, Chinese Academy of Sciences and The Ministry of Public Security of the People’s Republic of China, Beijing 100101, China
  • Received:2020-10-22 Revised:2021-01-29 Accepted:2021-01-29 Online:2021-06-10 Published:2021-08-13
  • Contact: Chen Shuai E-mail:106275904@qq.com;chens.17s@igsnrr.ac.cn
  • Supported by:
    National Key Research and Development Project(2020YFB1806500)

摘要:

随着互联网的发展和普及,违法犯罪活动逐渐向网络空间渗透,网络诈骗作为一种典型的网络犯罪,严重威胁社会治安稳定。基于裁判文书网数据库的25 597份网络诈骗一审判决书,采用自然语言处理技术提取了2017—2020年中国县域尺度网络诈骗案件,分析了网络诈骗的时空分布特征。空间自相关分析结果表明,网络诈骗案件多集中在东南沿海地区,包括江苏、浙江、上海、福建以及广东一带。随着时间的变化,2019年安徽、河南的聚集区逐渐消失,而湖南、重庆等地形成了明显的聚集区。网络诈骗犯罪者主要来自福建、湖北、河南、广东、湖南,不同省份的网络诈骗犯罪者分布模式有显著差异,江苏、浙江的网络诈骗犯罪者来源较为分散,广东、福建、河南的网络诈骗犯罪者来源相对集中。

关键词: 网络诈骗, 县域尺度, 空间自相关, 莫兰指数, 自然语言处理

Abstract:

With the development and popularization of the Internet, illegal and criminal activities have gradually penetrated cyberspace. Cyber fraud, as a typical cybercrime, has been causing property losses and seriously threatening social stability. Based on 25 597 first-instance written judgments of cyber fraud cases obtained from the China Judgments Online Database (excluding Hong Kong, Macau and Taiwan), this study used Natural Language Processing (NLP) method to extract county-level cyber fraud cases in China from 2017 to 2020 and analyzed the spatial-temporal distribution of cyber fraud. The results of spatial autocorrelation analysis show that cyber fraud mostly happens in the southeast coastal areas, including Jiangsu, Shanghai, Zhejiang, Fujian, and Guangdong. Over time, the clusters of cyber fraud cases in Anhui and Henan gradually disappeared in 2019, while some other noticeable clusters appeared in Hunan, Chongqing, etc. Nationwide, cyber fraud criminals mainly come from Fujian, Hubei, Henan, Guangdong, and Hunan. There are significant differences in the distribution patterns of cyber fraud criminals in different provinces. Cyber fraud criminals inflow to Jiangsu and Zhejiang are relatively scattered, coming from Fujian, Jiangxi, Hunan, Hubei, Henan, Guangdong, Anhui, etc. Cyber fraud criminals inflow to Guangdong, Fujian, and Henan are comparatively concentrated, mainly come from local province and neighboring provinces.

Key words: cyber fraud, county scale, spatial autocorrelation, Moran’s I, Natural Language Processing

中图分类号: 

  • DF792.3