Using social network analysis to prevent money laundering
详细信息 查看全文
- 作者：Andrea Fronzetti Colladon ; fronzetti.colladon@dii.uniroma2.it" class="auth_mail" title="E-mail the corresponding author ; Elisa Remondi elisaremondi1990@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Anti-money laundering ; Social network ; Factoring ; Fraud detection ; Decision support systems
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：67
- 期：Complete
- 页码：49-58
- 全文大小：1372 K
文摘
- •
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.