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作 者:王辰灏 何芳州[1] 简中易 WANG Chenhao;HE Fangzhou;JIAN Zhongyi(Criminal Investigation Police University of China,Shenyang 110854,China)
机构地区:[1]中国刑事警察学院,沈阳110854
出 处:《刑事技术》2025年第1期41-47,共7页Forensic Science and Technology
基 金:辽宁省社会科学规划基金项目(L21ASH004)。
摘 要:在公安工作中,微信数据是侦查线索的重要来源。其中,在微信用户公开发布的朋友圈中,好友之间的点赞评论等互动情况实质上隐含着用户与好友间的社交关系网。基于此,本文提出了一种面向微信朋友圈关系网的提取及分析方法,来为线索获取提供新的思路及技术。首先提取朋友圈中互动情况并使用力导向图技术将之构建成一张微信朋友圈关系网,其次通过图聚类分析与中心性分析方法对关系网进行分析,筛查出其中的紧密关系人,最后使用词云技术与TextRank算法对用户与紧密关系人的聊天记录进行分析。该方法能够迅速构建涉案人员的微信朋友圈关系网并筛查其中紧密关系人,进而有针对性地对海量聊天记录进行分析,迅速获取有价值的侦查线索,最终为侦查工作的开展提供助力。Within the realm of law enforcement,the utilization of WeChat data has emerged as an indispensable investigation tool,extensively employed in crime investigations and clues tracking.This paper focuses on the information shared by WeChat users in their Moments,with particular attention to interactions between friends.A method for extracting and analyzing clues based on the WeChat Moments relationship network is proposed.Firstly,social connections between users and friends are extracted by analyzing interactions such as likes and comments in WeChat Moments.The WeChat Moments relationship network is then constructed using force-directed graph techniques,providing a visual representation of the relationships between users and their friends.Subsequently,in-depth analysis is conducted through graph clustering and centrality analysis methods.By identifying closely connected individuals,potential associated groups and social circles are revealed,offering key leads for subsequent investigative work.Lastly,focusing on these closely connected individuals,a thorough analysis of their chat records is performed using word cloud technology and the TextRank algorithm.By mining keywords and topics,a more comprehensive understanding of communication content is obtained,aiding in the accurate assessment of the activities and intentions of individuals involved in the case.Through application and validation in real cases,this method demonstrates the ability to rapidly construct the WeChat Moments relationship network,identify closely connected individuals,and perform targeted analysis of their chat records.The results of the experiments show signifi cant achievements in improving the effi ciency,accuracy,and depth of lead acquisition,providing robust support for law enforcement investigations.The proposed method,based on the WeChat Moments relationship network,offers new perspectives and technological means for law enforcement investigations. Future work may involve further optimizingalgorithms and enhancing the capability to handle
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