Research Of Online Rumors Transmission Based On An Improved SIR Model

Online Social Network(OSN)as a product of the development of information-based society is transferring the information flow in real life to online for low cost management and let the virtual social connected with real world.The main contents of this thesis are listed as follows.Firstly,we give a probability of an individual's choice of spreading rumors or not based on the basis of game theory.This paper takes the process of rumor diffusion and the behavior characteristics into consideration to establish a rumor diffusion model in online social networks,Simulations both on scale-free network and small-world network have been researched to study the impact of rate at which an individual revises his action on rumor diffusion.Secondly,based on the topological model of online social networks and classic infectious disease model,we study the interaction for the two related rumors in the communication process on social networks.Based on the analysis of the interaction of promote or restrain for the two rumors in the communication process,this paper introduces the SIR model of the two related rumors in the communication process on Social networks,Which provide a basic model for studying the spread of rumors on the networks.At the same time,it introduces the small-world network and the scale-free network model to establish artificial network and numerical simulation,the interaction among the different network models is analyzed.At last,we introduce the analytical framework of population dynamics and propose an information propagation model based on SIR.This paper analyzes the abilities of user characteristic attributes?behavior property and interest attributes from the perspective of the herding effect and the effect of literature obsolescence in the process of information dissemination in public places.Finally,we consider the effect of employing Net-cheaters to refute rumors and we have found the optimal time point to make the economic losses to the minimum and inhibit the spread of rumor effectively.