Opinion formation on multiplex scale-free networks

Most individuals, if not all, live in various social networks. The formation of opinion systems is an outcome of social interactions and information propagation occurring in such networks. We study the opinion formation with a new rule of pair-wise interactions in the novel version of the well-known...

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Main Authors: Nguyen, Vu Xuan, Xiao, Gaoxi, Xu, Xin-Jian, Li, Guoqi, Wang, Zhen
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/104905
http://hdl.handle.net/10220/47867
http://dx.doi.org/10.1209/0295-5075/121/26002
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1049052019-12-10T13:11:56Z Opinion formation on multiplex scale-free networks Nguyen, Vu Xuan Xiao, Gaoxi Xu, Xin-Jian Li, Guoqi Wang, Zhen School of Electrical and Electronic Engineering Complexity Institute Networks Multiplex DRNTU::Engineering::Electrical and electronic engineering Most individuals, if not all, live in various social networks. The formation of opinion systems is an outcome of social interactions and information propagation occurring in such networks. We study the opinion formation with a new rule of pair-wise interactions in the novel version of the well-known Deffuant model on multiplex networks composed of two layers, each of which is a scale-free network. It is found that in a duplex network composed of two identical layers, the presence of the multiplexity helps either diminish or enhance opinion diversity depending on the relative magnitudes of tolerance ranges characterizing the degree of openness/tolerance on both layers: there is a steady separation between different regions of tolerance range values on two network layers where multiplexity plays two different roles respectively. Additionally, the two critical tolerance ranges follow a one-sum rule; that is, each of the layers reaches a complete consensus only if the sum of the tolerance ranges on the two layers is greater than a constant approximately equaling 1, a double of the critical bound on a corresponding isolated network. A further investigation of the coupling between constituent layers quantifi ed by a link overlap parameter reveals that as the layers are loosely coupled, the two opinion systems co-evolve independently, but when the inter-layer coupling is sufficiently strong, a monotonic behavior is observed: an increase in the tolerance range of a layer causes a decline in the opinion diversity on the other layer regardless of the magnitudes of tolerance ranges associated with the layers in question. MOE (Min. of Education, S’pore) Accepted version 2019-03-20T06:51:23Z 2019-12-06T21:42:22Z 2019-03-20T06:51:23Z 2019-12-06T21:42:22Z 2018 Journal Article Nguyen, V. X., Xiao, G., Xu, X.-J., Li, G., & Wang, Z. (2018). Opinion formation on multiplex scale-free networks. EPL, 121(2), 26002-. doi:10.1209/0295-5075/121/26002 0295-5075 https://hdl.handle.net/10356/104905 http://hdl.handle.net/10220/47867 http://dx.doi.org/10.1209/0295-5075/121/26002 en EPL © 2018 EPLA. All rights reserved. This paper was published in EPL and is made available with permission of EPLA. 7 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Networks
Multiplex
DRNTU::Engineering::Electrical and electronic engineering
spellingShingle Networks
Multiplex
DRNTU::Engineering::Electrical and electronic engineering
Nguyen, Vu Xuan
Xiao, Gaoxi
Xu, Xin-Jian
Li, Guoqi
Wang, Zhen
Opinion formation on multiplex scale-free networks
description Most individuals, if not all, live in various social networks. The formation of opinion systems is an outcome of social interactions and information propagation occurring in such networks. We study the opinion formation with a new rule of pair-wise interactions in the novel version of the well-known Deffuant model on multiplex networks composed of two layers, each of which is a scale-free network. It is found that in a duplex network composed of two identical layers, the presence of the multiplexity helps either diminish or enhance opinion diversity depending on the relative magnitudes of tolerance ranges characterizing the degree of openness/tolerance on both layers: there is a steady separation between different regions of tolerance range values on two network layers where multiplexity plays two different roles respectively. Additionally, the two critical tolerance ranges follow a one-sum rule; that is, each of the layers reaches a complete consensus only if the sum of the tolerance ranges on the two layers is greater than a constant approximately equaling 1, a double of the critical bound on a corresponding isolated network. A further investigation of the coupling between constituent layers quantifi ed by a link overlap parameter reveals that as the layers are loosely coupled, the two opinion systems co-evolve independently, but when the inter-layer coupling is sufficiently strong, a monotonic behavior is observed: an increase in the tolerance range of a layer causes a decline in the opinion diversity on the other layer regardless of the magnitudes of tolerance ranges associated with the layers in question.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Nguyen, Vu Xuan
Xiao, Gaoxi
Xu, Xin-Jian
Li, Guoqi
Wang, Zhen
format Article
author Nguyen, Vu Xuan
Xiao, Gaoxi
Xu, Xin-Jian
Li, Guoqi
Wang, Zhen
author_sort Nguyen, Vu Xuan
title Opinion formation on multiplex scale-free networks
title_short Opinion formation on multiplex scale-free networks
title_full Opinion formation on multiplex scale-free networks
title_fullStr Opinion formation on multiplex scale-free networks
title_full_unstemmed Opinion formation on multiplex scale-free networks
title_sort opinion formation on multiplex scale-free networks
publishDate 2019
url https://hdl.handle.net/10356/104905
http://hdl.handle.net/10220/47867
http://dx.doi.org/10.1209/0295-5075/121/26002
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