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A Proof of Concept Study for Criminal Network Analysis with Interactive Strategies

机译:带有交互策略的犯罪网络分析的概念验证

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摘要

The communication data are becoming increasingly important for criminal network analysis nowadays, and these data provide a digital trace which can be regarded as a hidden clue to support the crack of criminal cases. Additionally, performing a timely and effective analysis on it can predict criminal intents and take efficient actions to restrain and prevent crimes. The primary work of our research is to suggest an analytical process with interactive strategies as a solution to the problem of characterizing criminal groups constructed from the communication data. It is expected to assist law enforcement agencies in the task of discovering the potential suspects and exploring the underlying structures of criminal network hidden behind the communication data. This process allows for network analysis with commonly used metrics to identify the core members. It permits exploration and visualization of the network in the goal of improving the comprehension of interesting microstructures. Most importantly, it also allows to extract community structures in an appropriate level with the label supervision strategy. Our work concludes illustrating the application of our interactive strategies to a real-world criminal investigation with mobile call logs.
机译:如今,通信数据对于犯罪网络分析正变得越来越重要,这些数据提供了数字痕迹,可以将其视为支持刑事案件破案的隐藏线索。此外,对其进行及时有效的分析可以预测犯罪意图,并采取有效行动来抑制和预防犯罪。我们研究的主要工作是提出一种具有互动策略的分析过程,以解决表征由通信数据构成的犯罪集团的问题。有望协助执法机构发现潜在的嫌疑人,并探索隐藏在通信数据背后的犯罪网络的底层结构。此过程允许使用常用的度量标准进行网络分析以标识核心成员。它允许探索和可视化网络,以提高对有趣的微结构的理解。最重要的是,它还允许使用标签监管策略在适当的级别提取社区结构。我们的工作得出结论,说明了我们的互动策略在通过移动电话记录进行的现实世界刑事调查中的应用。

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