Using social network analysis to prevent money laundering
作者：
Highlights：
• We analyzed over 33,000 financial operations involving an Italian factoring company.
• We present network construction techniques based on different risk factors.
• Social network metrics are an important addition to anti-money laundering.
• Cluster analysis on tacit link networks can help identify suspicious actors.
• Our models and metrics are easy to replicate and to integrate into existing systems.
摘要
•We analyzed over 33,000 financial operations involving an Italian factoring company.•We present network construction techniques based on different risk factors.•Social network metrics are an important addition to anti-money laundering.•Cluster analysis on tacit link networks can help identify suspicious actors.•Our models and metrics are easy to replicate and to integrate into existing systems.
论文关键词：Anti-money laundering,Social network,Factoring,Fraud detection,Decision support systems
论文评审过程：Received 5 July 2016, Revised 30 August 2016, Accepted 17 September 2016, Available online 20 September 2016, Version of Record 24 September 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.09.029
