Abstract
With the development of blockchain technology, many new social networks based on blockchain technology have emerged. The unique consensus mechanism and incentive mechanism of blockchain technology makes the law of information propagation in the new social network different from that in the traditional social network. Based on the information propagation characteristics of blockchain social network, this paper considers the influence of opposing groups of opinions, incentive mechanism and user’s conformity psychology in blockchain social network, and uses the evolutionary game to define the transfer process and probability between states and puts forward a new information propagation model. This paper analyses the influence of group density, state transition probability, and incentive policy on information transmission trends in the network through simulation experiments. The comparative experiment with the traditional model shows that the model in this paper can describe the propagation behaviour choices of different propagators under different incentive policies, which the traditional model cannot describe. Using the model in this paper to analyse the information propagation of blockchain social networks can effectively inhibit the propagation of inferior information and further build a good network public opinion environment.
Highlights
With the rapid development of Internet technology, many social network services (SNS) have emerged, bringing great convenience to people’s daily information acquisition. e continuous interaction of social network users makes all kinds of information quickly spread in social networks
In the 1960s, Daley and Kendall proposed the DK model [6]. They found a certain similarity between information propagation and virus propagation in society. erefore, later information propagation studies mainly refer to the ideas and methods of infectious disease models or directly use existing models to study information propagation
Classical infectious disease models include SI model, SIS model, SIR model [7], SEIR model [8], other propagation models are mainly based on the classic models mentioned above. e infectious disease model abstracts the various populations in the process of virus transmission into different state nodes and abstracts the infection and recovery process of the population into state transitions between nodes. ese classic infectious disease models take a fixed value as the probability of transition between states. ese characteristics enable infectious disease models to describe the spread of viruses or information among the population to a certain extent
Summary
With the rapid development of Internet technology, many social network services (SNS) have emerged, bringing great convenience to people’s daily information acquisition. e continuous interaction of social network users makes all kinds of information quickly spread in social networks. Scholars use blockchain technology to improve the problems of user privacy data leakage, low data security, high degree of social network centralization, and difficulty in tracking data sources in traditional social network frameworks. These real social networks provide a practical platform for subsequent research on the dynamics of information propagation in blockchain social networks. Is article aims to establish a blockchain-based social network information dissemination model while highlighting the application prospects of blockchain technology in the direction of public opinion guidance and governance to provide references for social platforms and government departments This paper simulated different incentive policies in the simulation experiment stage to observe their influence on user propagation behaviour choices. is article aims to establish a blockchain-based social network information dissemination model while highlighting the application prospects of blockchain technology in the direction of public opinion guidance and governance to provide references for social platforms and government departments
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