Competitive spreading of multiple opinions in complex social networks: a simulation study

Due to the inherent independence of individuals, diverse ideas invariably emerge within social networks. Some of these ideas exert suppressive effects on the dissemination of opposing opinions, while others tend to coexist harmoniously alongside them. Given that individuals are consistently situated...

Full description

Saved in:
Bibliographic Details
Main Author: Feng, Yue
Other Authors: Xiao Gaoxi
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181859
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-181859
record_format dspace
spelling sg-ntu-dr.10356-1818592024-12-27T15:46:11Z Competitive spreading of multiple opinions in complex social networks: a simulation study Feng, Yue Xiao Gaoxi School of Electrical and Electronic Engineering EGXXiao@ntu.edu.sg Engineering Due to the inherent independence of individuals, diverse ideas invariably emerge within social networks. Some of these ideas exert suppressive effects on the dissemination of opposing opinions, while others tend to coexist harmoniously alongside them. Given that individuals are consistently situated within social networks, their viewpoints are subtly influenced by those of their friends and relatives. Simultaneously, with the advancement of social media and network technologies, the propagation of opinions in contemporary social networks often occurs at multiple levels, encompassing both online and offline interpersonal connections as well as various media platforms. Therefore, this dissertation aims to explore the intricate dynamics of opinion spreading, investigate its evolutionary processes, and analyze its underlying causes and mechanisms. The study builds a two-layer scale-free network as the platform for opinion spreading considering the characteristics of social networks. It conducts simulations in three scenarios: non-exclusive idea vs. non-exclusive idea, non-exclusive idea vs. exclusive idea, and exclusive idea vs. exclusive idea. The results are compared with the spread of ideas in a single-layer scale-free network with the same parameters to analyze the similarities and differences between multi-level spreading and single-level spreading and the underlying reasons. Concurrently, this study extends the concept of assortativity to inter-network assortativity, with the aim of investigating its impact on opinion dissemination. The simulation carried out in three scenarios of competing ideas in two-layer networks with different inter-network assortativity. The effects of the parameter on the advantages and disadvantages agent of opinion spreading are found and the reasons are analyzed. The simulation results of this research provide referential information for humanity to understand the complex and vast system of opinion spreading in contemporary social networks. At the same time, the results hold significant implications in areas such as public opinion dissemination, rumor control, marketing and advertising, political opinion propagation, etc. Master's degree 2024-12-26T11:40:31Z 2024-12-26T11:40:31Z 2024 Thesis-Master by Coursework Feng, Y. (2024). Competitive spreading of multiple opinions in complex social networks: a simulation study. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181859 https://hdl.handle.net/10356/181859 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
spellingShingle Engineering
Feng, Yue
Competitive spreading of multiple opinions in complex social networks: a simulation study
description Due to the inherent independence of individuals, diverse ideas invariably emerge within social networks. Some of these ideas exert suppressive effects on the dissemination of opposing opinions, while others tend to coexist harmoniously alongside them. Given that individuals are consistently situated within social networks, their viewpoints are subtly influenced by those of their friends and relatives. Simultaneously, with the advancement of social media and network technologies, the propagation of opinions in contemporary social networks often occurs at multiple levels, encompassing both online and offline interpersonal connections as well as various media platforms. Therefore, this dissertation aims to explore the intricate dynamics of opinion spreading, investigate its evolutionary processes, and analyze its underlying causes and mechanisms. The study builds a two-layer scale-free network as the platform for opinion spreading considering the characteristics of social networks. It conducts simulations in three scenarios: non-exclusive idea vs. non-exclusive idea, non-exclusive idea vs. exclusive idea, and exclusive idea vs. exclusive idea. The results are compared with the spread of ideas in a single-layer scale-free network with the same parameters to analyze the similarities and differences between multi-level spreading and single-level spreading and the underlying reasons. Concurrently, this study extends the concept of assortativity to inter-network assortativity, with the aim of investigating its impact on opinion dissemination. The simulation carried out in three scenarios of competing ideas in two-layer networks with different inter-network assortativity. The effects of the parameter on the advantages and disadvantages agent of opinion spreading are found and the reasons are analyzed. The simulation results of this research provide referential information for humanity to understand the complex and vast system of opinion spreading in contemporary social networks. At the same time, the results hold significant implications in areas such as public opinion dissemination, rumor control, marketing and advertising, political opinion propagation, etc.
author2 Xiao Gaoxi
author_facet Xiao Gaoxi
Feng, Yue
format Thesis-Master by Coursework
author Feng, Yue
author_sort Feng, Yue
title Competitive spreading of multiple opinions in complex social networks: a simulation study
title_short Competitive spreading of multiple opinions in complex social networks: a simulation study
title_full Competitive spreading of multiple opinions in complex social networks: a simulation study
title_fullStr Competitive spreading of multiple opinions in complex social networks: a simulation study
title_full_unstemmed Competitive spreading of multiple opinions in complex social networks: a simulation study
title_sort competitive spreading of multiple opinions in complex social networks: a simulation study
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/181859
_version_ 1820027783971078144