A rumor spreading model based on two propagation channels in social networks

Pingqi Jia, Chao Wang, Gaoyu Zhang and Jianfeng Ma

Physica A: Statistical Mechanics and its Applications, 2019, vol. 524, issue C, 342-353

Abstract: Social networks have become one kind of the most important information media in the world, and the study of the phenomena of rumor propagation in social networks is helpful to understand the intrinsic laws of propagation behavior. We distinguish two propagation channels, that is, point to point propagation and group propagation, of rumor spreading on social networks. Thus we propose an improved SIR model and establish the corresponding mean-field equation. By using the differential dynamics method and the next generation matrix theory, the equilibrium point and the basic regeneration number R0 are calculated. Moreover, the geometric method is used to prove the asymptotic stability of the model at the equilibrium point and the bifurcation phenomenon at R0=1. Finally, numerical simulations are carried out to verify the correctness of the theoretical results, and the influence of the rumor spreading mechanisms on the propagation process is analyzed.

Keywords: Social network; Rumor spreading; SIR epidemic model; Stability analysis (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:524:y:2019:i:c:p:342-353

DOI: 10.1016/j.physa.2019.04.163

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