Network Optimization Algorithm for Enterprise Financial Management Decision-Making based on Multi-Agent Network Node Information Aggregation

Abstract

This paper proposes a method for identifying important nodes in complex networks based on the aggregation of multi-attribute preference information. Firstly, according to the local characteristics, global characteristics and spatial location of nodes, five attribute indicators, namely degree centrality, betweenness centrality, compactness, structural hole and K-kernel (Ks), are selected to construct an identification model of important nodes in multi-attribute complex networks. Propose a research on the construction scheme of enterprise financial management informatization based on cloud computing. Then expound the strategy for enterprises to choose the "cloud finance" construction scheme, and then summarize from demand analysis, planning and design, deployment and implementation, operation and maintenance management and optimization and improvement Five steps to build the basic process of "cloud finance".