本研究运用改进的传染病模型来描述不同新产品信息发布方式下消费者的状态转

This study uses an improved infectious disease model to describe the state transition probability of consumers under different new product information release methods. At the same time, the heterogeneity factors of individual consumers and the characteristics of the network topology are added to HAM to obtain target consumers and potential The probability of consumers buying a new product. The coupling model obtained by the integration of the two models overcomes the shortcomings of a single model and solves the problem of considering the influence mechanism of new product information release methods on the diffusion of new products.

In this study, the improved infectious disease model is used to describe the probability of change of the consumer's state under different new product information release methods, and to add the heterogeneity factors and network topology characteristics of individual consumers to HAM to obtain the probability of target consumers and potential consumers to purchase new products. The coupling model resulting from the integration of the two models overcomes the defects of a single model and solves the problem of considering the influence mechanism of new product information release on the diffusion of new products.

In this study, an improved infectious disease model is used to describe the state transition probability of consumers under different new product information release modes, and the heterogeneity factors and network topology characteristics of individual consumers are added to ham to obtain the probability of target consumers and potential consumers to purchase new products. The coupling model obtained by the integration of the two models overcomes the defects of single model and solves the problem of considering the influence mechanism of new product information release mode on new product diffusion.<br>