Using social network analysis to prevent money laundering
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- 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
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We analyzed over 33,000 financial operations involving an Italian factoring company.
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We present network construction techniques based on different risk factors.
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Social network metrics are an important addition to anti-money laundering.
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Cluster analysis on tacit link networks can help identify suspicious actors.
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Our models and metrics are easy to replicate and to integrate into existing systems.