Research on System Risks of “Internet + Supply Chain Finance” Based on SNA, Dynamic Evolutionary Game, and Bayesian Learning Principle Simulation

Abstract

Under the background of “Internet +,” the supply chain financial model and processes have undergone profound changes. Firstly, through the social network analysis, the correlation between the participants in the Internet + supply chain finance is directly visualized. Secondly, the dynamic risk evolution model of the system is constructed based on the different functions between the participants. Unstable solution and saddle points of the system are calculated; on this basis, Bayesian learning principles are used to build an Internet + supply chain financial credit default risk simulation model, and the simulation model is encapsulated. Finally, a numerical example is used to verify the simulation model operation convenience, efficiency, and reliability.