关键词: 图熵 影响因子 链接发现 反洗钱

Abstract:

It is an important issue to identify critical nodes from the complex networks of money laundering crime in the money laundering field. According to the expert knowledge in the money laundering field, this paper gives a model of impact factors and an algorithm of link discovery based on graph entropy.  The realization of the algorithm for preventing and combating financial crimes has a great realistic significance.

Key words: graph entropy, impact factor, link discovery, money laundering