谣言
阿利效应
图灵
数学
正确性
应用数学
非线性系统
分叉
人口
反应扩散系统
理论(学习稳定性)
振幅
统计物理学
数学分析
计算机科学
算法
物理
量子力学
机器学习
社会学
人口学
程序设计语言
公共关系
政治学
作者
Junlang Hu,Linhe Zhu,Miao Peng
标识
DOI:10.1016/j.ins.2022.03.044
摘要
In this paper, we divide the population into three groups: susceptible individuals ( S ), infectious individuals ( I ) and removed individuals ( R ), and propose a rumor propagation dynamic model with Allee effect and cross-diffusion. Next, we have analyzed a general form of cross-diffusion model with time delay, and drawn a general conclusion of linear stability analysis of Turing bifurcation. However, Turing bifurcation analysis cannot give the specific shapes of the patterns under certain conditions. With the help of the “Multiple Scale Analysis” method, we derive the expression of the amplitude equation for the general form of weakly nonlinear models . Finally, we apply the above theorems to the analysis of our previously proposed model, and derive the appearance condition of the Turing bifurcation and the expression of the amplitude equation respectively. Through the numerical simulations, we have verified the correctness of the above theoretical analysis.
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