一种基于可疑度函数和信息熵的金融网络洗钱社团发现算法

An Algorithm of Money Laundering Community Detection of Financial Network Based on Information Entropy and Function of Suspiciousness

随着贪污、受贿、网络诈骗、走私、贩毒、逃税、非法集资、恐怖主义等上游犯罪日益猖獗,全世界洗钱的次数和规模也在迅速增长。洗钱活动不仅给国家带来不可估量财产损失,而且严重危害国家金融体系的安全及经济秩序的稳定。本文分析了金融网络中洗钱的典型特征,提出了一种基于可疑度函数和信息熵的金融网络洗钱社团发现算法。实验结果表明,该算法能够有效地识别出金融网络中的洗钱社团。

With the increasingly rampant corruption, bribery, network fraud, smuggling, drug trafficking, tax evasion, illegal fund- raising, terrorism and other upstream crimes, the number and scope of money laundering in the world is also growing rapidly. Money laundering brings immeasurable losses to the state property, and cause serious damage to the safety of the nation＇s financial system and the stability of economic order. This paper analyzes the typica（ features of money laundering in financial network, proposes an algorithm of money laundering community detection of financial network based on information entropy and function of suspiciousness .The experimental results show that the algorithm can effectively identify the money laundering community in financial network.