Opinion diversity and community formation in adaptive networks

It is interesting and of significant importance to investigate how network structures co-evolve with opinions. In this article, we show that, a simple model integrating consensus formation, link rewiring, and opinion change allows complex system dynamics to emerge, driving the system into a dynamic...

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Main Authors: Yu, Y., Xiao, Gaoxi, Li, G., Tay, Wee Peng, Teoh, H. F.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87801
http://hdl.handle.net/10220/46861
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-878012020-03-07T14:02:35Z Opinion diversity and community formation in adaptive networks Yu, Y. Xiao, Gaoxi Li, G. Tay, Wee Peng Teoh, H. F. School of Electrical and Electronic Engineering Complexity Institute Social Networks DRNTU::Engineering::Electrical and electronic engineering Power Distribution Systems It is interesting and of significant importance to investigate how network structures co-evolve with opinions. In this article, we show that, a simple model integrating consensus formation, link rewiring, and opinion change allows complex system dynamics to emerge, driving the system into a dynamic equilibrium with the co-existence of diversified opinions. Specifically, similar opinion holders may form into communities yet with no strict community consensus; and rather than being separated into disconnected communities, different communities are connected by a non-trivial proportion of inter-community links. More importantly, we show that the complex dynamics may lead to different numbers of communities at the steady state with a given tolerance between different opinion holders. We construct a framework for theoretically analyzing the co-evolution process. Theoretical analysis and extensive simulation results reveal some useful insights into the complex co-evolution process, including the formation of dynamic equilibrium, the transition between different steady states with different numbers of communities, and the dynamics between opinion distribution and network modularity. MOE (Min. of Education, S’pore) Published version 2018-12-07T02:27:33Z 2019-12-06T16:49:45Z 2018-12-07T02:27:33Z 2019-12-06T16:49:45Z 2017 Journal Article Yu, Y., Xiao, G., Li, G., Tay, W. P., & Teoh, H. F. (2017). Opinion diversity and community formation in adaptive networks. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(10), 103115-. doi:10.1063/1.4989668 1054-1500 https://hdl.handle.net/10356/87801 http://hdl.handle.net/10220/46861 10.1063/1.4989668 en Chaos: An Interdisciplinary Journal of Nonlinear Science © 2017 The Author(s) (Published by AIP). This paper was published in Chaos: An Interdisciplinary Journal of Nonlinear Science and is made available as an electronic reprint (preprint) with permission of The Author(s) (Published by AIP). The published version is available at: [http://dx.doi.org/10.1063/1.4989668]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 11 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Social Networks
DRNTU::Engineering::Electrical and electronic engineering
Power Distribution Systems
spellingShingle Social Networks
DRNTU::Engineering::Electrical and electronic engineering
Power Distribution Systems
Yu, Y.
Xiao, Gaoxi
Li, G.
Tay, Wee Peng
Teoh, H. F.
Opinion diversity and community formation in adaptive networks
description It is interesting and of significant importance to investigate how network structures co-evolve with opinions. In this article, we show that, a simple model integrating consensus formation, link rewiring, and opinion change allows complex system dynamics to emerge, driving the system into a dynamic equilibrium with the co-existence of diversified opinions. Specifically, similar opinion holders may form into communities yet with no strict community consensus; and rather than being separated into disconnected communities, different communities are connected by a non-trivial proportion of inter-community links. More importantly, we show that the complex dynamics may lead to different numbers of communities at the steady state with a given tolerance between different opinion holders. We construct a framework for theoretically analyzing the co-evolution process. Theoretical analysis and extensive simulation results reveal some useful insights into the complex co-evolution process, including the formation of dynamic equilibrium, the transition between different steady states with different numbers of communities, and the dynamics between opinion distribution and network modularity.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yu, Y.
Xiao, Gaoxi
Li, G.
Tay, Wee Peng
Teoh, H. F.
format Article
author Yu, Y.
Xiao, Gaoxi
Li, G.
Tay, Wee Peng
Teoh, H. F.
author_sort Yu, Y.
title Opinion diversity and community formation in adaptive networks
title_short Opinion diversity and community formation in adaptive networks
title_full Opinion diversity and community formation in adaptive networks
title_fullStr Opinion diversity and community formation in adaptive networks
title_full_unstemmed Opinion diversity and community formation in adaptive networks
title_sort opinion diversity and community formation in adaptive networks
publishDate 2018
url https://hdl.handle.net/10356/87801
http://hdl.handle.net/10220/46861
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