Dynamic analysis of a stochastic rumor propagation model

2018 ◽  
Vol 490 ◽  
pp. 613-623 ◽  
Author(s):  
Fangju Jia ◽  
Guangying Lv
Keyword(s):  
Dynamic Analysis ◽  
Propagation Model ◽  
Rumor Propagation

Dynamic analysis of a rumor propagation model with Lévy noise

2017 ◽  
Vol 41 (4) ◽  
pp. 1661-1673 ◽  
Author(s):  
Fangju Jia ◽  
Guangying Lv ◽  
Guang-an Zou
Keyword(s):  
Dynamic Analysis ◽  
Propagation Model ◽  
Lévy Noise ◽  
Rumor Propagation ◽  
Levy Noise

Dynamic analysis of a stochastic delayed rumor propagation model

2018 ◽  
Vol 2018 (2) ◽  
pp. 023502
Author(s):  
Fangju Jia ◽  
Guangying Lv ◽  
Shuangfeng Wang ◽  
Guang-an Zou
Keyword(s):  
Dynamic Analysis ◽  
Propagation Model ◽  
Rumor Propagation

scholarly journals Dynamic Analysis of a Stochastic Rumor Propagation Model with Regime Switching

Mathematics ◽  
2021 ◽  
Vol 9 (24) ◽  
pp. 3277
Author(s):  
Fangju Jia ◽  
Chunzheng Cao
Keyword(s):  
Dynamic Analysis ◽  
Numerical Simulations ◽  
Stationary Distribution ◽  
Regime Switching ◽  
Lyapunov Functions ◽  
Sufficient Conditions ◽  
Propagation Model ◽  
Rumor Propagation ◽  
White Noises

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.

scholarly journals Dynamic analysis of rumor propagation model based on true information spreader

2019 ◽  
Vol 68 (15) ◽  
pp. 150501
Author(s):  
Ju-Ping Zhang ◽  
Hao-Ming Guo ◽  
Wen-Jun Jing ◽  
Zhen Jin
Keyword(s):  
Dynamic Analysis ◽  
Propagation Model ◽  
Model Based ◽  
Rumor Propagation

A Rumor & Anti-rumor Propagation Model Based on Data Enhancement and Evolutionary Game

2020 ◽  
pp. 1-1
Author(s):  
Yunpeng Xiao ◽  
Wen Li ◽  
Shuai Qiang ◽  
Qian Li ◽  
Hanchun Xiao ◽  
...  
Keyword(s):  
Evolutionary Game ◽  
Propagation Model ◽  
Model Based ◽  
Rumor Propagation

scholarly journals A Bio-Inspired Defensive Rumor Confinement Strategy in Online Social Networks

2021 ◽  
Vol 33 (1) ◽  
pp. 47-70
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L. D.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Propagation Model ◽  
Information Propagation ◽  
Control Approach ◽  
Rumor Propagation ◽  
Immunization Strategies ◽  
New Information ◽  
The Individual ◽  
Rumor Control

Online social networks (OSNs) are used to connect people and propagate information around the globe. Along with information propagation, rumors also penetrate across the OSNs in a massive order. Controlling the rumor propagation is utmost important to reduce the damage it causes to society. Educating the individual participants of OSNs is one of the effective ways to control the rumor faster. To educate people in OSNs, this paper proposes a defensive rumor control approach that spreads anti-rumors by the inspiration from the immunization strategies of social insects. In this approach, a new information propagation model is defined to study the defensive nature of true information against rumors. Then, an anti-rumor propagation method with a set of influential spreaders is employed to defend against the rumor. The proposed approach is compared with the existing rumor containment approaches and the results indicate that the proposed approach works well in controlling the rumors.

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