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Social contagions on multiplex networks with heterogeneous population

Shu-Shan Zhu, Xu-Zhen Zhu, Jian-Qun Wang, Zeng-Ping Zhang and Wei Wang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 516, issue C, 105-113

Abstract: In this paper, we study the effects of heterogeneous population on the dynamics of social contagions on multiplex networks. We assume a fraction of f nodes with a higher adoption threshold T>1, and the remaining fraction of 1−f nodes with adoption threshold 1. A social contagion model is proposed to describe the social contagions, in which a susceptible node adopting the contagion only when its received accumulated information is larger than the adoption threshold in either subnetwork. With an edge-based compartmental approach and extensive numerical simulations, we find that the system exhibits a continuous phase transition for small values of f, while shows a hybrid phase transition for relatively large values of f and T. For homogeneous multiplex networks the hybrid phase transition occurs, while there is only a continuous phase transition for heterogeneous multiplex networks. Our theoretical predictions agree well with numerical simulations.

Keywords: Complex networks; Spreading dynamics; Social contagions; Multiplex networks (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:516:y:2019:i:c:p:105-113

DOI: 10.1016/j.physa.2018.10.010

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