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

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  • Huo, Liang’an
  • Ding, Fan
  • Cheng, Yingying

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.

Suggested Citation

  • Huo, Liang’an & Ding, Fan & Cheng, Yingying, 2019. "Dynamic analysis of a SIbInIu, rumor spreading model in complex social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 924-932.
    • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:924-932
    DOI: 10.1016/j.physa.2019.04.244
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    References listed on IDEAS

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    1. Li, Dandan & Qian, Wenqi & Sun, Xiaoxiao & Han, Dun & Sun, Mei, 2023. "Rumor spreading in a dual-relationship network with diverse propagation abilities," Applied Mathematics and Computation, Elsevier, vol. 458(C).

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