A Novel Rumor Propagation Model On Social Networks And Dynamic Analysis

Social network rumors are the product of the rapid development of the Internet and the popularity of Internet devices.The precise,fast and low-cost removal of social network rumors is the goal of social network governance.In this thesis,a novel rumor propagation model of social network considering the structural features of social network and rumor characteristics of social network is proposed,and its simulation analysis is carried out.The main research contents of this thesis are as follows:(1)A new rumor propagation model,named URBD,is proposed in this thesis.For the first time,the large amount of rumor data in social networks is regarded as the focus of research,and it is represented by R nodes.The simulation results show that the behavior of issuing authoritative information has a good inhibition effect on the spread of rumors.(2)Considering that users do not always keep online,URBD model with online and offline is more suitable for rumor spreading behavior in social networks.Through modeling and analysis,it is found that,while disseminating authoritative information to dispel rumors,blocking or restricting the online access of some users can better inhibit the spread of rumors in social networks.(3)Considering that different degrees of nodes have different effects on rumor propagation in social networks,a rumor propagation model based on complex networks is established.Firstly,the dissemination dynamics is used to establish the theoretical model of rumor dissemination in social networks.Secondly,computer simulation is used to analyze complex networks.The simulation results show that the rumors in scale-free are not easy to be completely eliminated.In small-world social networks with obvious characteristics,the average time for large-scale nodes to be affected by rumors is shorter.The URBD model based on complex networks can better describe the impact range of rumors spreading in social networks.