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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6667187 |
id |
doaj-e16fab8f39744f15aba5c33693627e80 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT xianyongli theanalysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT jianzhu theanalysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT yajundu theanalysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT qianzhang theanalysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT xianyongli analysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT jianzhu analysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT yajundu analysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks AT qianzhang analysisofopinionevolutionandcontrolbasedontheprisonersdilemmagameinsocialnetworks |
_version_ |
1714867069914185728 |