Dynamic analysis of a SIbInIu, rumor spreading model in complex social network

Huo, Liang’an, Fan Ding and Yingying Cheng

Physica A: Statistical Mechanics and its Applications, 2019, vol. 523, issue C, 924-932

Abstract: Recently, more and more attentions have been applied to rumor spreading, and the reaction of each individual to the rumor appears to be different. Considering the reactions of the susceptible person first time hearing the rumors, in this paper, we divide the whole people in the network into four groups: the susceptible, the believable, the incubative and the uninterested. SIbInIu rumor spreading model is proposed in both homogeneous networks and heterogeneous networks. By mean-field equations and numerical simulations in both networks, theoretical analysis and the simulation results demonstrate that both losing-interest rate and stifling rate exert negative effect on final rumor spreading scale.

Keywords: Rumor spreading model; Complex social network; Suspicious; Final rumor spreading size (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:523:y:2019:i:c:p:924-932

DOI: 10.1016/j.physa.2019.04.244

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