Modeling and analyzing an opinion network dynamics considering the environmental factor

Fulian Yin; Jinxia Wang; Xinyi Jiang; Yanjing Huang; Qianyi Yang; Jianhong Wu; Fulian Yin; Jinxia Wang; Xinyi Jiang; Yanjing Huang; Qianyi Yang; Jianhong Wu

doi:10.3934/mbe.2023752

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 9: 16866-16885. doi: 10.3934/mbe.2023752

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Research article

Modeling and analyzing an opinion network dynamics considering the environmental factor

1.
State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China
2.
College of Information and Communication Engineering, Communication University of China, Beijing 100024, China
3.
Laboratory for Industrial and Applied Mathematics, York University, Toronto M3J1P3, Canada

Academic Editor: Hao Wang

Received: 03 June 2023 Revised: 03 August 2023 Accepted: 11 August 2023 Published: 24 August 2023

With the development of Internet technology, social media has gradually become an important platform where users can express opinions about hot events. Research on the mechanism of public opinion evolution is beneficial to guide the trend of opinions, making users' opinions change in a positive direction or reach a consensus among controversial crowds. To design effective strategies for public opinion management, we propose a dynamic opinion network susceptible-forwarding-immune model considering environmental factors (NET-OE-SFI), which divides the forwarding nodes into two types: support and opposition based on the real data of users. The NET-OE-SFI model introduces environmental factors from infectious diseases into the study of network information transmission, which aims to explore the evolution law of users' opinions affected by the environment. We attempt to combine the complex media environmental factors in social networks with users' opinion information to study the influence of environmental factors on the evolution of public opinion. Data fitting of real information transmission data fully demonstrates the validity of this model. We have also made a variety of sensitivity analysis experiments to study the influence of model parameters, contributing to the design of reasonable and effective strategies for public opinion guidance.
- complex network,
- opinion dynamics,
- environmental factors,
- dynamic model,
- information propagation
Citation: Fulian Yin, Jinxia Wang, Xinyi Jiang, Yanjing Huang, Qianyi Yang, Jianhong Wu. Modeling and analyzing an opinion network dynamics considering the environmental factor[J]. Mathematical Biosciences and Engineering, 2023, 20(9): 16866-16885. doi: 10.3934/mbe.2023752

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Abstract

With the development of Internet technology, social media has gradually become an important platform where users can express opinions about hot events. Research on the mechanism of public opinion evolution is beneficial to guide the trend of opinions, making users' opinions change in a positive direction or reach a consensus among controversial crowds. To design effective strategies for public opinion management, we propose a dynamic opinion network susceptible-forwarding-immune model considering environmental factors (NET-OE-SFI), which divides the forwarding nodes into two types: support and opposition based on the real data of users. The NET-OE-SFI model introduces environmental factors from infectious diseases into the study of network information transmission, which aims to explore the evolution law of users' opinions affected by the environment. We attempt to combine the complex media environmental factors in social networks with users' opinion information to study the influence of environmental factors on the evolution of public opinion. Data fitting of real information transmission data fully demonstrates the validity of this model. We have also made a variety of sensitivity analysis experiments to study the influence of model parameters, contributing to the design of reasonable and effective strategies for public opinion guidance.

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