基于信息风险感知理论的虚假信息点对点传播建模与仿真研究

doi:10.11896/jsjkx.220900084

Abstract

Abstract: In the study of computational social science,the propagation model inspired by infectious diseases is widely used to simulate the spread of false information.However,the traditional infectious disease model does not distinguish the differences among individuals.In the real world,the difference between individuals helps to understand how false information spreads between individuals ,which is of great significance for exploring the propagation law of false information in social networks and suppressing the spread of false information.Based on the information risk perception theory,this paper makes use of online social users’ emotion,knowledge level,trust and the number of media contacts to distinguish the differences of communication indivi-duals,and builds a more realistic point-to-point communication model of false information.In the process of communication,the differences between individuals are manifested in different communication probabilities.Individuals with high communication probabilities are more likely to be transformed into communication states.This paper uses the manually annotated Facebook data set to conduct simulation to study the propagation laws of false information.The results show that,compared with the average probability propagation system,the time span of spreading false information in the point-to-point propagation mode will be longer and the coverage will be wider.In addition,by controlling the nodes with high propagation probability,it is possible to control the propagation of false information in advance,and it has achieved better results than the methods of random control and controlling the nodes with high influence.However,increasing the control proportion of nodes in turn can not achieve better control results as expected,and the characteristics of “anti common sense” appear.

Key words: Information risk perception, False information, Point-to-Point propagation, Dissemination control, Comparative analysis

CLC Number:

TP391.9

YU Kai, SU Tianrui. Modeling and Simulation of Point-to-Point Propagation of False Information Based on Information Risk Perception[J].Computer Science, 2023, 50(7): 376-385.

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