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

作者：Zhou, Peng; Liu, Yan^*; Zhao, Mengjia; Lou, Xin

来源：International Journal of Software Engineering and Knowledge Engineering, 2017, 27(4): 623-639.

DOI：10.1142/S0218194017500231

• Criminal network analysis
• interactive strategy
• community detection

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.

• 出版日期2017-5
• 单位同济大学