Research on Risk Early Warning of Emergency Network Rumors Based on Dynamic Bayesian Network
[Purpose/significance]Using Dynamic Bayesian Network(DBN)to construct the risk early warning model of emergen-cy network rumors,the paper enriches the research content of emergency network rumors and provides reference for the governance of network rumors in China.[Method/process]From the three dimensions of fact dimension,society dimension and time dimension,this paper determines the influencing factors and quantitative methods of emergency network rumor risk,and constructs the prediction index system of emergency network rumor risk level.Then,the paper constructs a DBN and trains it,taking the incident of"Tangshan barbe-cue restaurant was hit by a woman who was crushed by a car and died"as an example,and using the DBN to analyze its attributes.[Result/conclusion]The social dimension contributes the greatest contribution to the risk level,and the time dimension has different risk level at different stages,and government departments should cooperate with opinion leaders to improve the efficiency of rumor refuta-tion.
万方数据
维普
