Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure

This paper investigates the opinion dynamics on the adaptive networks with the community structure. A coevolution model of opinions and networks is proposed, in which the influence weights among agents can not be precisely obtained, and there exist the confidence heterogeneities and the frequency di...

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Autores principales: Xiaojian Li, Liming Wang
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/6674fdfdff164821a5c38adad2f9e274
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spelling oai:doaj.org-article:6674fdfdff164821a5c38adad2f9e2742021-11-18T00:06:33ZEffects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure2169-353610.1109/ACCESS.2020.3018460https://doaj.org/article/6674fdfdff164821a5c38adad2f9e2742021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9173762/https://doaj.org/toc/2169-3536This paper investigates the opinion dynamics on the adaptive networks with the community structure. A coevolution model of opinions and networks is proposed, in which the influence weights among agents can not be precisely obtained, and there exist the confidence heterogeneities and the frequency difference of exchanging opinion between the inner-community and the inter-community. A two-dimensional fuzzy inference system is designed to obtain the influence weights among agents’ opinions, which deals with the difficulties that the influence weights can not be precisely obtained. The simulation results show that the imbalance levels between the inner-community confidence and the inter-community confidence not only affect strongly the average relative frequency of survival opinions, but also dominate the distribution of survival opinions. The polarization state of opinions easily appears in the population with the higher inner-community confidence, whereas when the inter-community confidence is higher, the system tends to exhibit a large number of small-size clusters and a plural state is achieved. Moreover, the simulation results also show that the convergence time to the stable state varies non-monotonically with the increase of the inner-community confidence or the inter-community confidence.Xiaojian LiLiming WangIEEEarticleOpinion dynamicsopinion clustercommunity structureconsensusfuzzy inference systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150569-150578 (2021)
institution DOAJ
collection DOAJ
language EN
topic Opinion dynamics
opinion cluster
community structure
consensus
fuzzy inference system
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Opinion dynamics
opinion cluster
community structure
consensus
fuzzy inference system
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Xiaojian Li
Liming Wang
Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure
description This paper investigates the opinion dynamics on the adaptive networks with the community structure. A coevolution model of opinions and networks is proposed, in which the influence weights among agents can not be precisely obtained, and there exist the confidence heterogeneities and the frequency difference of exchanging opinion between the inner-community and the inter-community. A two-dimensional fuzzy inference system is designed to obtain the influence weights among agents’ opinions, which deals with the difficulties that the influence weights can not be precisely obtained. The simulation results show that the imbalance levels between the inner-community confidence and the inter-community confidence not only affect strongly the average relative frequency of survival opinions, but also dominate the distribution of survival opinions. The polarization state of opinions easily appears in the population with the higher inner-community confidence, whereas when the inter-community confidence is higher, the system tends to exhibit a large number of small-size clusters and a plural state is achieved. Moreover, the simulation results also show that the convergence time to the stable state varies non-monotonically with the increase of the inner-community confidence or the inter-community confidence.
format article
author Xiaojian Li
Liming Wang
author_facet Xiaojian Li
Liming Wang
author_sort Xiaojian Li
title Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure
title_short Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure
title_full Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure
title_fullStr Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure
title_full_unstemmed Effects of Confidence Heterogeneities on Opinion Dynamics on the Adaptive Networks With Community Structure
title_sort effects of confidence heterogeneities on opinion dynamics on the adaptive networks with community structure
publisher IEEE
publishDate 2021
url https://doaj.org/article/6674fdfdff164821a5c38adad2f9e274
work_keys_str_mv AT xiaojianli effectsofconfidenceheterogeneitiesonopiniondynamicsontheadaptivenetworkswithcommunitystructure
AT limingwang effectsofconfidenceheterogeneitiesonopiniondynamicsontheadaptivenetworkswithcommunitystructure
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