Research on the Model of Word-of-Mouth Communication in Social Networks Based on Dynamic Simulation

Abstract

Word-of-mouth communication plays an important role in consumers' purchasing decisions. With the rapid development of the Internet, social networks have become an important way for word-of-mouth communication. This study draws on the dynamic model of the spread of infectious diseases and establishes a model of word-of-mouth communication in social networks. By analyzing the characteristics of word-of-mouth communication in social networks, the process of withdrawing from the communicator group and becoming a communicator again is introduced. This article uses a dynamic simulation method to simulate and analyze the process of word-of-mouth communication in social networks. The experimental results show that the withdrawal of the communicator group into a communicator again can effectively increase the time of word-of-mouth communication in social networks and reduce the rate of decrease in the popularity of word-of-mouth communication. The simulation analysis of word-of-mouth communication in social networks provides theoretical support for enterprises to make product promotion decisions.