典型文献
Correlation and trust mechanism-based rumor propagation model in complex social networks
文献摘要:
In real life,the rumor propagation is influenced by many factors.The complexity and uncertainty of human psychol-ogy make the diffusion model more challenging to depict.In order to establish a comprehensive propagation model,in this paper,we take some psychological factors into consideration to mirror rumor propagation.Firstly,we use the Ride-nour model to combine the trust mechanism with the correlation mechanism and propose a modified rumor propagation model.Secondly,the mean-field equations which describe the dynamics of the modified SIR model on homogenous and heterogeneous networks are derived.Thirdly,a steady-state analysis is conducted for the spreading threshold and the final rumor size.Fourthly,we investigate rumor immunization strategies and obtain immunization thresholds.Next,simulations on different networks are carried out to verify the theoretical results and the effectiveness of the immunization strategies.The results indicate that the utilization of trust and correlation mechanisms leads to a larger final rumor size and a smaller terminal time.Moreover,different immunization strategies have disparate effectiveness in rumor propagation.
文献关键词:
中图分类号:
作者姓名:
Xian-Li Sun;You-Guo Wang;Lin-Qing Cang
作者机构:
School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
文献出处:
引用格式:
[1]Xian-Li Sun;You-Guo Wang;Lin-Qing Cang-.Correlation and trust mechanism-based rumor propagation model in complex social networks)[J].中国物理B(英文版),2022(05):102-114
A类:
psychol,nour
B类:
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AB值:
0.546478
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