| In recent years,blockchain technology has gradually emerged.Its decentralization features profoundly affect social fairness and information security,and it has applications in medical,financial,education,credit reporting,and other fields.Several blockchain-based social platforms represented by Steemit and Minds have been launched in information dissemination.The characteristics of blockchain technology affect users’ social behaviour,thus constructing a new information dissemination environment.Dissertation mainly explores the role of blockchain-specific mechanisms on the law of dissemination to reveal the impact of blockchain on the law of information dissemination.Based on the current research results,dissertation proposed an information dissemination model based on blockchain economic incentives and the content consensus.Based on the current research results,dissertation expounds on the significance of the research on the blockchain social network propagation model.Secondly,the research status of the information dissemination model under the blockchain architecture is summarized.It also introduces blockchains,mainstream consensus mechanisms and incentive mechanisms,and information dissemination models.Dissertation firstly analyzes the similarities and differences between the network topology of traditional social networks and blockchain-based social networks based on real data sets and explores the role of blockchain’s economic incentives and content consensus on information dissemination.Then according to the analysis,a new information dissemination model based on the blockchain economic incentive mechanism is constructed.This model abstracts the opposing opinion groups in the blockchain social network into two-state nodes,analyzes the influence of the incentive mechanism and user conformity psychology,and uses evolutionary games to define the transfer process and probability between states.Probabilities are treated as time-varying parameters.Dissertation analyzes the influence of population density,state transition probability,and incentive strategy on the trend of information transmission in the network through simulation experiments.The comparison experiment with the traditional model shows that the model can describe the communication behavior choices of different communicators under different incentive policies,which the traditional model cannot describe.The time to reach the maximum propagation range for this model was at least 7% higher than the traditional one,and the maximum was 54% higher.It shows that after receiving the information in the blockchain social network,the user chooses to spread the information for a longer time and is more rational.Moreover,dissertation constructs a new information dissemination model based on the blockchain content consensus mechanism,introduces a new consensus node state,and constructs a trust evaluation mechanism based on network topology and user attributes—partial state transition probabilities.The influence of consensus nodes on the evolution trend of the system and the influence of consensus probability on the evolution trend of the system are analyzed through simulation experiments,which illustrate that the consensus mechanism of the blockchain can help highlight high-quality content and reduce rumors.Finally,the results of the comparative experiments show that the time required for the consensus mechanism-based model to reach the maximum propagation range increases by42.86% compared with the traditional SEIR model and by 17.65% compared with the BCSEIR model.The maximum propagation range of this model accounts for 46.07% of the entire network,which is 14.51% less than the SEIR model and 1.15% more than the BCSEIR model.It shows the rationality of the model.The combined blockchain and social networks application provide new network public opinion governance ideas.The model in dissertation provides a theoretical basis for government departments to use blockchain technology to govern and guide online public opinion in the future. |
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