Model of Rumor Propagation in Online Social Networks Considering the Identity-Skepticism Mechanism
Rumor spreading in online social networks is influenced by a variety of factors.Considering that netizens have agreeable and skepti-cal attitudes towards rumors,some of them believe the rumors and spread them,another part does not believe the rumors and is immune to them,and another part will keep the state of unknown or neutral and so on.Based on the traditional SIR rumor propagation model,the un-knowns'identity-skepticism mechanism is introduced,the identity-skepticism probability is considered to be related to the number of rumor retweets and the correlation coefficient,and the rumor spreader's forgetting rate is related to the timeliness of the information,and the modi-fied SIR model is established,and the mean-field equations of the modified SIR rumor propagation model are firstly derived for the uniform network and the inhomogeneous network,and then the Monte Carlo method is used to simulate the rumor The rumor propagation process was simulated using the Monte Carlo method.The simulation results show that the decrease of information timeliness,the increase of forgetting rate and the probability of questioning the rumor will lead to the decrease of the peak density of spreaders and the scale of rumor spreading;the more times the rumor is forwarded,as well as the higher the relevance of the rumor to the people,and the wider the scope of spreading,the higher the peak density of spreading nodes.
online social networksrumor spreadingidentity-questioning mechanisminformationtimelinessMonte Carlo simulation
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