Dynamical analysis of a rumor spreading model with self-discrimination and time delay in complex networks

被引:34
作者
Zhu, Linhe [1 ]
Guan, Gui [1 ,2 ]
机构
[1] Jiangsu Univ, Fac Sci, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex networks; Rumor propagation; Delay; Stability; SIS EPIDEMIC MODEL; KNOWLEDGE TRANSMISSION; GLOBAL STABILITY; MECHANISM; PROPAGATION; MALWARE; BEHAVIORS;
D O I
10.1016/j.physa.2019.121953
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Considering the ability of network users to distinguish and refute the rumor, we establish a Susceptible-Believed-Denied (SBD) rumor spreading model with nonlinear incidence rate and time delay in complex networks. Specifically, two dynamical systems of rumor propagation are given based on the mean field theory in homogeneous and heterogeneous networks respectively. Then, we obtain the equilibrium points of the systems and calculate the basic reproduction number R-0 according to the next generation matrix in homogeneous networks and the existence of a positive equilibrium point in heterogeneous networks. The local and global asymptotic stabilities of the rumor-free equilibrium points are demonstrated by constructing Lyapunov functions under the given condition R-1 <= 1. Further, we perform representative numerical simulations to illustrate the theoretical results. Through simulation experiments, the dynamics around the rumor-spreading equilibrium points when R-0 > 1 are also discussed to complement some dynamical properties of our models. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:18
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