scholarly journals Adaptive bridge control strategy for opinion evolution on social networks

2011 ◽  
Vol 21 (2) ◽  
pp. 025116 ◽  
Author(s):  
Cheng Qian ◽  
Jinde Cao ◽  
Jianquan Lu ◽  
Jürgen Kurths
Keyword(s):  
Social Networks ◽  
Control Strategy ◽  
Opinion Evolution

scholarly journals Influential Node Control Strategy for Opinion Evolution on Social Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Cheng Ju ◽  
Jinde Cao ◽  
Weiqi Zhang ◽  
Mengxin Ji
Keyword(s):  
Social Networks ◽  
Control Strategy ◽  
Small World ◽  
Opinion Dynamics ◽  
Node Degree ◽  
New Model ◽  
New Strategy ◽  
Influential Nodes ◽  
Basic Features ◽  
Opinion Evolution

We study opinion dynamics in social networks and present a new strategy to control the invasive opinion. A developed continuous-opinion evolution model is proposed to describe the mechanism of making decision in closed community. Two basic strategies of evolution are determined, and some basic features of our new model are analyzed. We study the different invasive strategies. It is shown via using Monte Carlo simulations that our new model shows different invulnerability with traditional model. Node degree and cohesion in invasive small-world community plays less significant role when the evolution of opinion is continuous rather than dichotomous. Using simulation, we find one kind of Influential Nodes that can affect the outcome dramatically, while these Influential Nodes are sensitive to their node degree and the evolution weight. Thus, we develop invasive control strategy based on these features.

Uncertain Opinion Evolution with Bounded Confidence Effects in Social Networks

2019 ◽  
Vol 28 (4) ◽  
pp. 494-509 ◽  
Author(s):  
Min Zhan ◽  
Haiming Liang ◽  
Zhaogang Ding ◽  
Yucheng Dong
Keyword(s):  
Social Networks ◽  
Bounded Confidence ◽  
Opinion Evolution

scholarly journals Modeling a Rumor Propagation in Online Social Network: An Optimal Control Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Rachid Ghazzali ◽  
Amine El Bhih ◽  
Adil El Alami Laaroussi ◽  
Mostafa Rachik
Keyword(s):  
Social Networks ◽  
Optimal Control ◽  
Control Strategy ◽  
Online Social Network ◽  
Optimal Controls ◽  
Control Approach ◽  
The Maximum Principle ◽  
Rumor Propagation ◽  
Optimal Control Approach

We propose to model the phenomenon of the spread of a rumor in social networks in this paper. From an existing SIR model, we manipulate a new one that is based on the model of cholera in order to take into account professional pages that specialize in spreading rumors. In the second part, we introduce a control strategy to fight against the diffusion of the rumor. Our main objective is to characterize the three optimal controls that minimize the number of spreader users, fake pages, and the corresponding costs. For that matter, using the maximum principle of Pontryagin, we prove the existence and we give characterization of our controls. Numerical simulations are given to concretize our approach.

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