Dynamic analysis of the rumor propagation model with consideration of the wise man and social reinforcement

2021 ◽  
Vol 571 ◽  
pp. 125828
Author(s):  
Liang’an Huo ◽  
Sijing Chen ◽  
Laijun Zhao
2017 ◽  
Vol 41 (4) ◽  
pp. 1661-1673 ◽  
Author(s):  
Fangju Jia ◽  
Guangying Lv ◽  
Guang-an Zou

2018 ◽  
Vol 2018 (2) ◽  
pp. 023502
Author(s):  
Fangju Jia ◽  
Guangying Lv ◽  
Shuangfeng Wang ◽  
Guang-an Zou

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3277
Author(s):  
Fangju Jia ◽  
Chunzheng Cao

We study the rumor propagation model with regime switching considering both colored and white noises. Firstly, by constructing suitable Lyapunov functions, the sufficient conditions for ergodic stationary distribution and extinction are obtained. Then we obtain the threshold Rs which guarantees the extinction and the existence of the stationary distribution of the rumor. Finally, numerical simulations are performed to verify our model. The results indicated that there is a unique ergodic stationary distribution when Rs>1. The rumor becomes extinct exponentially with probability one when Rs<1.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Liang’an Huo ◽  
Sijing Chen ◽  
Xiaoxiao Xie ◽  
Huiyuan Liu ◽  
Jianjia He

The wide spread of rumor is undoubtedly harmful to social stability; we should try to lower the effect of rumor on society. Therefore, it is reasonable to put forward the rumor control strategy on the basis of the study of the law of rumor propagation. Firstly, the ISTR model of rumor is established by including influencing factors of true information spreader and social reinforcement. And by using the next generation matrix method, the basic reproduction number of rumor is obtained. Then, in order to minimize the adverse effects of rumors, through introducing two control strategies of scientific knowledge popularization and refutation of rumors, the optimal control problem is established. And through using Pontryagin’s Minimum Principle, the optimal solution of the rumor propagation model is solved. Finally, through theoretical analysis and numerical simulation, some results can be obtained. The results show that adding true information spreaders into the rumor model can effectively control the rumor propagation, and social reinforcement plays a significance role in rumor. The results also prove that these two control strategies can effectively inhibit the propagation of rumors. With the addition of control strategies, the number of true information spreaders increases, while the number of rumor spreaders decreases.


2019 ◽  
Vol 68 (15) ◽  
pp. 150501
Author(s):  
Ju-Ping Zhang ◽  
Hao-Ming Guo ◽  
Wen-Jun Jing ◽  
Zhen Jin

Author(s):  
Yunpeng Xiao ◽  
Wen Li ◽  
Shuai Qiang ◽  
Qian Li ◽  
Hanchun Xiao ◽  
...  

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