Impact of media on opinion dynamics of interacting networks

People’s opinions are formed by various social interactions. Individuals acquire information by communicating with their friends or read news from different types of media resources. To better understand this scenario, the opinion dynamics studies in the field of Social Network Analysis (SNA) invest...

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Main Author: Ma, Hongxuan
Other Authors: Bei Xiaohui
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/139346
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1393462023-02-28T23:16:32Z Impact of media on opinion dynamics of interacting networks Ma, Hongxuan Bei Xiaohui School of Physical and Mathematical Sciences xhbei@ntu.edu.sg Science::Mathematics People’s opinions are formed by various social interactions. Individuals acquire information by communicating with their friends or read news from different types of media resources. To better understand this scenario, the opinion dynamics studies in the field of Social Network Analysis (SNA) investigate the behaviour of opinion models on different networks. In this research, we explore a multi-level interacting opinion dynamics model which includes networks for both normal individuals and official media agents. Varying the media network structure, the impact of media on individuals’ opinion dynamic process is observed. Although the overall individuals’ performances look similar, the in-behind mechanism caused by distinct media structures is different. Generally, for individuals who have little faith among their friends, with more openness towards the media, they firstly reach agreements but then split for dispersion. As for individuals who trust their friends, with more acceptance towards media agents, they evolve from initial consensus to disagreements. Bachelor of Science in Mathematical Sciences 2020-05-19T03:27:48Z 2020-05-19T03:27:48Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139346 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 Science::Mathematics
spellingShingle Science::Mathematics
Ma, Hongxuan
Impact of media on opinion dynamics of interacting networks
description People’s opinions are formed by various social interactions. Individuals acquire information by communicating with their friends or read news from different types of media resources. To better understand this scenario, the opinion dynamics studies in the field of Social Network Analysis (SNA) investigate the behaviour of opinion models on different networks. In this research, we explore a multi-level interacting opinion dynamics model which includes networks for both normal individuals and official media agents. Varying the media network structure, the impact of media on individuals’ opinion dynamic process is observed. Although the overall individuals’ performances look similar, the in-behind mechanism caused by distinct media structures is different. Generally, for individuals who have little faith among their friends, with more openness towards the media, they firstly reach agreements but then split for dispersion. As for individuals who trust their friends, with more acceptance towards media agents, they evolve from initial consensus to disagreements.
author2 Bei Xiaohui
author_facet Bei Xiaohui
Ma, Hongxuan
format Final Year Project
author Ma, Hongxuan
author_sort Ma, Hongxuan
title Impact of media on opinion dynamics of interacting networks
title_short Impact of media on opinion dynamics of interacting networks
title_full Impact of media on opinion dynamics of interacting networks
title_fullStr Impact of media on opinion dynamics of interacting networks
title_full_unstemmed Impact of media on opinion dynamics of interacting networks
title_sort impact of media on opinion dynamics of interacting networks
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/139346
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