Research And Simulation Of Internet Rumor Propagation Model Based On Microblog

Through the continuous development of online social networks in recent years,Sina's microblog social media platform has become one of the most commonly used applications in China.Sina Weibo has a very large user group,which makes it in the core position of network information dissemination.Microblog not only brings us communication convenience,but also provides a carrier for the spread of rumors.When the rumor information is released through the network,due to the lack of the first-time reports and refutation of the authoritative media,as well as people's strong curiosity and herd mentality of rumor events,a large number of event related rumors are generated and widely spread on the microblog network.Internet rumors may not only damage the reputation of Internet users,bring great mental distress to the victims,but also affect social stability,and even damage the image of the state and the government.Therefore,it is a very important issue to study the characteristics of rumor spread in microblog network and master its spread law for effectively immune and control rumor informations.The main contents of this paper are as follows:Firstly,according to the information dissemination mechanism and characteristics of micro blog network,the audience users of micro blog rumors are divided into four categories: U state(people who don't know about rumors,called Unknown),V state(people who have read rumors,called Viewer),F state(people who forwarding rumors,called Forwarder)and R state(people who have commented on rumors),so as to build a UVFR network rumor dissemination model,using this model to analyze the impact of main parameters on the dissemination process,and put forward corresponding control strategies.The main feature of the model is to redefine the rumor propagation rules and the propagation dynamics equation,so that the description of the propagation process is more consistent with the behavior of microblog users.Using multi-agent simulation platform,the spread behavior of rumor is simulated under scale-free network structure.By comparing the simulation results with the real data of sina Weibo,the rationality and validity of the conclusions are confirmed.The simulation results show that the more initial communication nodes,the faster the rumor propagation speed;the larger the forwarding probability,the wider the rumor propagation range.Secondly,based on the UVFR network rumor propagation model,considering Ebbinghaus memory forgetting rule,and the forgetting function is applied to the transformation probability between different states to make the propagation formula more consistent with the real situation of microblog users.And through the use of MATLAB software and NetLogo simulation software to carry out numerical simulation experiments and simulation propagation experiments respectively,to verify the rationality and effectiveness of the new model,and finally compare the real data provided by Sina Weibo with the simulation data.The experimental results show that the larger the initial forgetting probability,the smaller the spreading range of rumor,and the shorter the stable time of rumor;And the smaller the speed of forgetting,the wider the spread of rumors,and the longer the spreading duration.The simulation experiment verifies the correctness of the theoretical analysis and the rationality of the communication model,then proposes the corresponding micro blog network rumor control strategy.Finally,the simulation system of network rumor spread is realized by using netlogo simulation platform.The main functions of the network rumor propagation simulation system include: network selection,network generation,model selection,model parameter setting,simulation propagation,experimental data display,propagation process display,etc.