摘要
为解决以往研究对传播概率时间依赖性和免疫者感染特性考虑不足问题,通过引入未知者怀疑机制建立SIR-CM谣言传播模型。基于平均场理论建立SIR-CM模型的平均场方程,阐述谣言在WS网络和BA网络上的传播过程。仿真结果表明,传播概率和免疫者遗忘概率越大,传播者密度峰值越大;未知者对谣言的怀疑程度越大,谣言被关注度越高,谣言传播范围越广。与SIR谣言传播模型相比,该模型可以更加准确地反映社交网络上谣言的传播趋势。
To make up for the insufficiency of the time dependence of spreading rate and the stifler’s reinfection characteristics in pre⁃vious studies,this paper establishes a novel SIR-CM rumor spreading model by introducing the skepticism mechanism of the ignorants.According to the mean-field theory,the mean-field equations of the SIR-CM are constructed,and the spreading behaviors of rumors on WS network and BA network are studied.Simulation results show that the peak value of spreader density increases as the spreading rate and forgetting rate increase.In addition,the greater the skepticism of the rumor,the higher the attention of the rumor,and the larger the spread scale of the rumor.Compared with the SIR rumor spreading model,the proposed SIR-CM model can reflect the rumor spreading trend on social networks more accurately.
作者
张明菊
仇丽青
ZHANG Ming-jv;QIU Li-qing(College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《软件导刊》
2021年第4期123-128,共6页
Software Guide
基金
青岛市社科规划项目(QDSKL1801103)。
关键词
社交网络
谣言传播
怀疑机制
social networks
rumor spreading
credulity mechanism
