Rumor propagation model with consideration of scientific knowledge level and social reinforcement in heterogeneous network

2020 ◽  
Vol 559 ◽  
pp. 125063
Author(s):  
Liang’an Huo ◽  
Sijing Chen
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.


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

2021 ◽  
Vol 33 (1) ◽  
pp. 47-70
Author(s):  
Santhoshkumar Srinivasan ◽  
Dhinesh Babu L. D.

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.


2017 ◽  
Vol 41 (4) ◽  
pp. 1661-1673 ◽  
Author(s):  
Fangju Jia ◽  
Guangying Lv ◽  
Guang-an Zou

2013 ◽  
Vol 717 ◽  
pp. 808-811 ◽  
Author(s):  
Yuan Zhang ◽  
Ye Guo

Rumor is one of the principal factors to affect public sentiment. With the development of Internet, the group of the micro-bloggers continuously grows. The special propagation mode of micro-blogging brings challenge to the rumor management. This article summarizes the features of information dissemination of micro-blogging and has a review on the traditional rumor propagation models. Furthermore, the process of rumor propagation on the micro-blogging platform is deeply analyzed, the micro-bloggers in the process of rumor propagation are classified and the rumor propagation model on the micro-blogging platform is initially studied and established. The study of this article lays a foundation for further study on rumor management on the micro-blogging platform.


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