Social Network Analysis in Multiple Social Networks Data for Criminal Group Discovery

Xufeng Shang, Yubo Yuan
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引用次数: 16

Abstract

A criminal network is a kind of social networks with both secrecy and efficiency. The hidden knowledge in criminal networks can be regarded as an important indicators for criminal investigations which can help finding the criminal's relationship and identifying suspects. However such criminal network analysis has not been studied well in an applied way and remains primarily a manual process. To assist investigators to find criminals relationship, criminal leader, and identify suspicious guys of a conspiracy, we built a comprehensive indicator model using methods developed in the field of Social Network Analysis (SNA). A simulation is done on a large office from open source reports and the ranked list with respect to comprehensive indicator indicates that we provide a reasonable ranking based on the proposed model.
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面向犯罪集团发现的多社会网络数据的社会网络分析
犯罪网络是一种兼具保密性和高效性的社会网络。犯罪网络中的隐性知识可以作为侦查犯罪的重要指标,有助于发现犯罪关系,识别犯罪嫌疑人。然而,这种犯罪网络分析尚未在应用方面得到很好的研究,主要仍然是人工过程。为了帮助调查人员发现犯罪关系、犯罪头目,并识别阴谋嫌疑人,我们利用社会网络分析(Social Network Analysis, SNA)领域的方法构建了一个综合指标模型。利用开源报告对一个大型办公室进行了仿真,综合指标的排名表表明,我们根据所提出的模型提供了一个合理的排名。
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