Modeling And Analysis Of Information Dissemination In Microblog Social Networks Based On Multi-agent

With the development of network and computer technology,social networks have become an important platform for people to spread information.With its high efficiency and openness,Microblog has become one of the most active online social platforms for users,providing an important channel for people to publish information,exchange information,and obtain information.In Microblog,everyone is both a disseminator of information and a recipient of information.Microblog has become an important platform for message diffusion and public opinion dissemination.Studying related factors that affect the dissemination of information on Microblog is beneficial to management and control of public opinion dissemination.This thesis studies the establishment of a multi-agent-based microblog social network information dissemination model.Through the definition of microblog individual attributes and behaviors,the macroscopic evolution of the system is studied from a microscopic perspective,and the impact of related factors on the microblog information dissemination process is discussed.The meme transmission phenomenon on social networks is studied.main tasks as follows:The mode of information propagation in Microblog and the formation of information dissemination network are analyzed.The user relationships between individual users of Microblog and other social network platforms are analyzed.They are divided into three relationships: mutual attention,unidirectional attention,and strangers.Considering that information dissemination is affected by the relationship between the information disseminator and the information receiver,the relationship between the two parties is defined as a strong relationship between the two parties.For the one-way follower relationship,define the one-way follower as a weak relationship.For the stranger relationship,it is defined as the weakest relationship due to its lack of attention.Considering the different factors that affect information dissemination under different strong and weak relationships,the relevant factors are specifically expressed and related algorithm descriptions are given.And on this basis,the concept of preference is introduced,and the relevant influencing factors are described as Agent's preferences.A user preference model based on CP-nets(Conditional Preference networks)is established,which intuitively and concisely expresses the preference relationship between various factors for the convenience of Agent.Individuals make forwarding decision metrics.Combining multi-agent systems with complex networks,a multi-agent-based micro-blog social network information dissemination model is established.The individual micro-blog users are abstracted as agents,and the relationship between micro-blog users is abstracted as edges,and the agent attributes are described.,And defines the interaction rules between Agents.The simulation experiment was carried out through the simulation platform NetLogo.The experimental results show that theMicroblog information propagation model belongs to fission-type propagation.Information value,individual influence,individual attitude and other factors have a significant impact on the propagation of Microblog information.Information dissemination and regulatory advice.This thesis studies the spread of memes in social networks,and explores the influence of such factors as the social interaction among individuals,media,types of memes and types of interests among individuals,and the popularity of meme creators.Simulation results show that the media can accelerate the spread of memes in social networks,but overall,the interaction between individuals is the main driving force for meme transmission.