Public opinion spread risk assessment model on third-party payment rough network

Abstract

The spread of the public opinion in a third-party payment rough network may endanger the platform’s economic stability. Hence, network public opinion spread risk assessment is urgently needed. Unfortunately, there has been no research on this problem. Based on research of the characteristics of the public opinion spread of a third-party payment rough network, we determined that the essence of the public opinion spread risk assessment in a network is to evaluate the important nodes and the risks of customer mining. The paper establishes a node-option model and node-search algorithm based on game theory. The game results show that managers select the customers who buy the degree nodes with the greatest weight as their public opinion customers, and they then perform risk assessment so that they can better determine the risk rating and index weights. The risk ratings and index weights can help managers control and adjust policies related to the spread of public opinion spread to prevent crises.