The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks

In a social network, a user is greatly influenced by their neighbors’ opinions, and the user’s opinion updating can be regarded as the prisoner’s dilemma game. In view of such considerations, this paper proposes an opinion evolution and control model based on the prisoner’s dilemma game and gives th...

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Main Authors: Xianyong Li, Jian Zhu, Yajun Du, Qian Zhang
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6667187
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spelling doaj-e16fab8f39744f15aba5c33693627e802021-02-15T12:52:51ZengHindawi-WileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66671876667187The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social NetworksXianyong Li0Jian Zhu1Yajun Du2Qian Zhang3School of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaDepartment of Mathematics and Physics, Xinjiang Institute of Engineering, Urumqi 830023, ChinaSchool of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaSchool of Computer and Software Engineering, Xihua University, Chengdu 610039, ChinaIn a social network, a user is greatly influenced by their neighbors’ opinions, and the user’s opinion updating can be regarded as the prisoner’s dilemma game. In view of such considerations, this paper proposes an opinion evolution and control model based on the prisoner’s dilemma game and gives the corresponding opinion evolution and control algorithm. Under different initial positive opinion proportions, different opinion control levels, and the same control threshold value and under different initial positive opinion proportions, different opinion control levels, and different opinion control threshold values in a scale-free network, the experiments illustrate the opinion evolution trends and control strategies according to the measures of changing the opinion control levels and opinion control threshold values for network regulators. The experiments show that the lower the initial positive opinion proportion is and the smaller (resp., larger) the control opinion threshold value chosen by the network regulators is, the lower (resp., higher) the opinion control level is; the larger the initial positive opinion proportion is and the larger the control opinion threshold value chosen by the network regulators is, the lower the opinion control level is.http://dx.doi.org/10.1155/2021/6667187
collection DOAJ
language English
format Article
sources DOAJ
author Xianyong Li
Jian Zhu
Yajun Du
Qian Zhang
spellingShingle Xianyong Li
Jian Zhu
Yajun Du
Qian Zhang
The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks
Complexity
author_facet Xianyong Li
Jian Zhu
Yajun Du
Qian Zhang
author_sort Xianyong Li
title The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks
title_short The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks
title_full The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks
title_fullStr The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks
title_full_unstemmed The Analysis of Opinion Evolution and Control Based on the Prisoner’s Dilemma Game in Social Networks
title_sort analysis of opinion evolution and control based on the prisoner’s dilemma game in social networks
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2021-01-01
description In a social network, a user is greatly influenced by their neighbors’ opinions, and the user’s opinion updating can be regarded as the prisoner’s dilemma game. In view of such considerations, this paper proposes an opinion evolution and control model based on the prisoner’s dilemma game and gives the corresponding opinion evolution and control algorithm. Under different initial positive opinion proportions, different opinion control levels, and the same control threshold value and under different initial positive opinion proportions, different opinion control levels, and different opinion control threshold values in a scale-free network, the experiments illustrate the opinion evolution trends and control strategies according to the measures of changing the opinion control levels and opinion control threshold values for network regulators. The experiments show that the lower the initial positive opinion proportion is and the smaller (resp., larger) the control opinion threshold value chosen by the network regulators is, the lower (resp., higher) the opinion control level is; the larger the initial positive opinion proportion is and the larger the control opinion threshold value chosen by the network regulators is, the lower the opinion control level is.
url http://dx.doi.org/10.1155/2021/6667187
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