Opinion evolution in adaptive complex networks

With the rapid development of information technology, information dissemination becomes more convenient, which makes public opinion events in the society happen frequently and become the focus. The report is written to study the process of opinion diversity and analyse the dynamic evolution relat...

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Main Author: Xu, Jiayuan
Other Authors: Xiao Gaoxi
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160419
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1604192023-07-04T17:45:23Z Opinion evolution in adaptive complex networks Xu, Jiayuan Xiao Gaoxi School of Electrical and Electronic Engineering EGXXiao@ntu.edu.sg Engineering::Electrical and electronic engineering With the rapid development of information technology, information dissemination becomes more convenient, which makes public opinion events in the society happen frequently and become the focus. The report is written to study the process of opinion diversity and analyse the dynamic evolution relationship between the network structure and opinions to reveal the inherent law, which has very important practical significance. Based on the research of domestic and foreign scholars on complex networks theory and opinion dynamics, this paper uses computer simulation, theoretical modeling and analysis as methodology to reasonably abstract the interaction mode and behavior state between individuals in the network, and establishes a simulation model of opinion propagation on the complex network. The Deffaunt model is selected to conduct simulation according to the relationship between network topology structure and opinion communication. This report studies the influence of different tolerance threshold, opinion composition and rewiring probability on the evolution direction, speed and time respectively. The ”fundamental belief ” was introduced into the algorithm to make the simulated data more consistent with the reality. The experimental results show that the number of clusters when dynamic equilibrium is only related to the maximum tolerance. Finally, the report summarizes the above research and design, and evaluates the network structure change and evolution trend of network public opinion, and puts forward relevant suggestions for future research work. Master of Science (Communications Engineering) 2022-07-22T00:47:35Z 2022-07-22T00:47:35Z 2022 Thesis-Master by Coursework Xu, J. (2022). Opinion evolution in adaptive complex networks. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/160419 https://hdl.handle.net/10356/160419 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Xu, Jiayuan
Opinion evolution in adaptive complex networks
description With the rapid development of information technology, information dissemination becomes more convenient, which makes public opinion events in the society happen frequently and become the focus. The report is written to study the process of opinion diversity and analyse the dynamic evolution relationship between the network structure and opinions to reveal the inherent law, which has very important practical significance. Based on the research of domestic and foreign scholars on complex networks theory and opinion dynamics, this paper uses computer simulation, theoretical modeling and analysis as methodology to reasonably abstract the interaction mode and behavior state between individuals in the network, and establishes a simulation model of opinion propagation on the complex network. The Deffaunt model is selected to conduct simulation according to the relationship between network topology structure and opinion communication. This report studies the influence of different tolerance threshold, opinion composition and rewiring probability on the evolution direction, speed and time respectively. The ”fundamental belief ” was introduced into the algorithm to make the simulated data more consistent with the reality. The experimental results show that the number of clusters when dynamic equilibrium is only related to the maximum tolerance. Finally, the report summarizes the above research and design, and evaluates the network structure change and evolution trend of network public opinion, and puts forward relevant suggestions for future research work.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Xu, Jiayuan
format Thesis-Master by Coursework
author Xu, Jiayuan
author_sort Xu, Jiayuan
title Opinion evolution in adaptive complex networks
title_short Opinion evolution in adaptive complex networks
title_full Opinion evolution in adaptive complex networks
title_fullStr Opinion evolution in adaptive complex networks
title_full_unstemmed Opinion evolution in adaptive complex networks
title_sort opinion evolution in adaptive complex networks
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/160419
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