Information Dissemination Model Based on Blockchain Social Network

Abstract

With the rapid development and popularization of block chain technology, some social platforms based on block chain technology have emerged. Due to the characteristics of block chain technology, the social behaviors and ways of users on the network have been affected, thus changing the process of information transmission. Based on the characteristics of information transmission in blockchain social networks, this paper proposes a new information transmission model by comprehensively considering the influence of factors such as blockchain incentive mechanism, node intimacy in traditional social networks and individual differences on the state transition probability. A new voting node has been added to the model, representing users on the blockchain network who are affected by the incentive mechanism. In the simulation experiment, by adjusting the weight of each factor, the influence on the number of spreaders in the information transmission model is analyzed. Moreover, by comparing the model proposed in this paper with the traditional social network model, the number of propagation nodes is reduced by 17.32%. The experimental results show that the blockchain environment can effectively curb the spread and spread of false news, and achieve a good ecological network public opinion communication environment.