【Author】
Drezewski, Rafal; Sepielak, Jan; Filipkowski, Wojciech
【Source】INFORMATION SCIENCES
【Abstract】Criminal analysis is a very complex task requiring to process huge amounts of data coming from different sources such as billings and bank account transactions in order to gain knowledge useful for an investigator. In order to support human analytic capabilities, dedicated software tools are needed, and therefore Money Laundering Detection System (MLDS) was proposed as one of such tools in our previous paper. In this paper, the social network analysis component for this system is presented. The component makes it possible to use data from bank statements and the National Court Register and construct and analyze social networks during an investigation into money laundering cases. The system can assign roles to persons from the network and allows for analysis of connections between them. The paper also includes results of experiments aimed at investigating the performance of the implemented algorithms and the correctness of the analysis. (C) 2014 Elsevier Inc. All rights reserved.
【Keywords】Software supporting criminal intelligence analysis; Social networks analysis; Money laundering
【标题】社会网络分析算法在支持洗钱检测系统中的应用
【摘要】犯罪分析是一项非常复杂的任务，需要处理来自不同来源的大量数据，如账单和银行账户交易，以便获得对调查人员有用的知识。为了支持人类的分析能力，需要专门的软件工具，因此洗钱检测系统(MLDS)是我们在前一篇文章中提出的工具之一。本文提出了该系统的社会网络分析组件。这一组成部分使其能够使用来自银行对账单和国家法院登记册的数据，并在调查洗钱案件期间构建和分析社交网络。该系统可以为来自网络的人员分配角色，并允许分析他们之间的联系。本文还包括实验结果，旨在调查所实现的算法的性能和分析的正确性。(C) 2014年爱思唯尔公司保留所有权利。
【关键词】支持刑事情报分析的软件;社会网络分析;洗钱
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