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| 县域尺度中国网络诈骗时空分布特征研究 | |
| 引用本文： | 项金桥,高春东,马甜,江东,郝蒙蒙,陈帅.县域尺度中国网络诈骗时空分布特征研究[J].地理科学,2021,41(6):1079-1087. |
| 作者姓名： | 项金桥 高春东 马甜 江东 郝蒙蒙 陈帅 |
| 作者单位： | 武汉大学法学院,湖北武汉430072;湖北省人民检察院,湖北武汉430079;中国科学院地理科学与资源研究所,北京100101;中国科学院公安部网络空间地理学实验室,北京100101 |
| 基金项目： | 国家重点研发计划项目(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 |
| 收稿时间： | 2020-10-22 |
| 修稿时间： | 2021-01-29 |
Spatial-temporal Distribution Characteristics of Cyber Fraud in China on County Scale |
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| Xiang Jinqiao,Gao Chundong,Ma Tian,Jiang Dong,Hao Mengmeng,Chen Shuai.Spatial-temporal Distribution Characteristics of Cyber Fraud in China on County Scale[J].Scientia Geographica Sinica,2021,41(6):1079-1087. | |
| Authors: | Xiang Jinqiao Gao Chundong Ma Tian Jiang Dong Hao Mengmeng Chen Shuai |
| Institution: | 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 |
| 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. |
| Keywords: | cyber fraud county scale spatial autocorrelation Moran’s I Natural Language Processing |
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