| As one of the most emerging technologies nowadays,blockchain technology has brought innovation to various industries,and its achievements are widely used in multiple fields.Many blockchain social networking platforms have emerged with the vigorous rise of blockchain technology.These blockchain social network platforms are gaining the favor of more and more users and have become a new direction for the development of social networks.The unique decentralization characteristics of blockchain social networks and the incentive mechanism and consensus mechanism have changed the social behavior of its users,making its influence dissemination mechanism different from traditional social networks.However,the conventional influence maximization algorithm does not consider its characteristics,and the accuracy of the influence spread range obtained is insufficient.Firstly,this dissertation systematically summarizes the blockchain technology and its related background,analyzes the research status of blockchain technology in information dissemination and influence dissemination,briefly explains the relevant technical knowledge of blockchain,describes the consensus mechanism and incentive mechanism of blockchain in detail,and analyzes the impact of these blockchain characteristics on influence dissemination.Compare the differences between blockchain social networks and traditional social networks,and analyze the unique characteristics of blockchain social networks.It is concluded that blockchain user information such as blockchain consensus,incentive mechanism,and user tokens are the primary factors affecting influence communication on blockchain social networks.Secondly,based on the proposed blockchain social network influence dissemination model,this dissertation further considered the multiple impacts of time factors on user behaviour and psychology in the blockchain social network environment.It linked the influence dissemination delay to the user’s earnings.Set the time point when the user no longer obtains the propagation benefit as the termination time of influence propagation and screen out the better seed nodes according to the termination time.Simulation experiments show that the model proposed in this dissertation can better simulate the process of influence propagation in the blockchain social network environment with time delay.To sum up,the main contributions of this dissertation include:(1)The characteristics and factors of influence propagation of blockchain social networks are studied.By analyzing the features of the blockchain,this dissertation established a blockchain social network influence propagation model and an influence maximization algorithm applied to the model.(2)By studying the law of influence propagation on blockchain social networks,it analyzes the incentive effect of blockchain decentralization and incentive mechanism on the propagation of positive influence in social networks and the influence on the propagation of negative influence.Inhibition can realize the practical analysis and control of disseminating false information in the network.(3)The influence of the time factor on the blockchain influence propagation is studied.This dissertation proposed a new influence propagation model to simulate the blockchain influence propagation with time delay.(4)According to the influence maximization algorithm proposed in this dissertation,the government can better select public opinion leaders in the social network built with blockchain as the underlying structure.And it is more conducive to the construction of social network platforms and networks based on blockchain technology and rumor control in the community. |
