Research on Cooperative Relations for Identifying Abnormal Vertices in Complex Financial Networks

摘要

Theory and application of complex network is one of the hot spots in many discipline now. In our economic life financial network is one kind of complex social network. This paper constructs two types of conception models of complex finance network which weights has special meaning. Firstly, this paper uses UCINET (a social network analysis software) to find the clustering characteristic of the finance network. Secondly, this paper constructs a financial network which its weights mean capital transfers frequency and uses short-path algorithm to find the correlation ship of any two account vertexes. All these can provide the foundation for further studies.