Modelling network public opinion polarization based on SIR model considering dynamic network structure

被引:23
作者
Yuan, Jiangjun [1 ]
Shi, Jiawen [1 ]
Wang, Jie [2 ]
Liu, Weinan [1 ]
机构
[1] Hangzhou Vocat & Tech Coll, Business & Tourism Inst, Hangzhou 310018, Zhejiang, Peoples R China
[2] Zhejiang Tech Inst Econ, Sch Shangmao Liutong, Hangzhou 310018, Peoples R China
关键词
Dynamic network; SIR model; Public opinion; Polarization; EVOLUTION; BEHAVIOR;
D O I
10.1016/j.aej.2021.10.014
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Under the dispute between China and the United States, the international field of public opinion is dominated by increasing tensions, and the network rumors triggered by the COVID-19 epidemic are intensifying. In view of the above-mentioned context, this paper focuses on the development and the evolution process of public opinions. Since the evolution of public opinion is often accompanied by the spread and diffusion of information, this paper combines the process of information diffusion with the development process of polarization behavior, and brings in the dynamic network and the timeliness factor of public opinion dissemination, so as to better explore the polarization process of public opinion under the dynamic network. Then, this paper focuses on the analysis of the parameters of the model and through the dynamic adjustment of parameters, finding out the main factors that affect the trend and development of network public opinion. In addition, this paper introduces an actual case, and takes the actual case data as the support to demonstrate the reliability and practical application value of the model. Finally, based on the simulation results and analysis of actual cases, this paper puts forward the corresponding preventive measures to alleviate the polarization behavior of the group. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
引用
收藏
页码:4557 / 4571
页数:15
相关论文
共 50 条
[41]   A Systems Dynamics Simulation Study of Network Public Opinion Evolution Mechanism [J].
Gao, Ge ;
Wang, Tianyong ;
Zheng, Xianrong ;
Chen, Yong ;
Xu, Xiaobo .
JOURNAL OF GLOBAL INFORMATION MANAGEMENT, 2019, 27 (04) :189-207
[42]   A novel risk communication model for online public opinion dissemination that integrates the SIR and Markov chains [J].
Zhou, Qian ;
Li, Jianping ;
Wu, Dengsheng ;
Xu, Xin Long .
RISK ANALYSIS, 2025,
[43]   Transmission mechanism of Novel coronavirus based on SIR model and emergency supplies network's relation [J].
Zhang Shuo ;
An Xuejiao ;
Qi Lin ;
Zhou Wei .
2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING (ICAICE 2020), 2020, :506-509
[44]   Bifurcation analysis and optimal control of a network- based SIR model with the impact of medical resources [J].
Wang, Fang ;
Liu, Maoxing ;
Zhang, Lei ;
Xie, Boli .
NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2023, 28 (02) :209-227
[45]   The Network Of Cities Of The Espirito Santo: Polarization And Challenges For Public Policy [J].
Ruiz, Ricardo M. ;
Crocco Afonso, Marco A. ;
Domingues, Edson Paulo ;
Santos, Fabiana ;
Grassi, Robson A. .
GEOGRAFARES, 2013, (15) :98-138
[46]   Dynamic analysis of rumor spreading model for considering active network nodes and nonlinear spreading rate [J].
Huo, Liang'an ;
Cheng, Yingying ;
Liu, Chen ;
Ding, Fan .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 506 :24-35
[47]   Dynamic modelling of traffic incident impacts on network reliability [J].
Li, Xingang ;
Lam, William H. K. ;
Shao, Hu ;
Gao, Ziyou .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2015, 11 (09) :856-872
[48]   A dynamic network model for interbank market [J].
Xu, Tao ;
He, Jianmin ;
Li, Shouwei .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 463 :131-138
[49]   Opinion Dynamics of Sznajd Model on Small-World Network [J].
Guo, L. ;
Cai, X. .
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2009, 6 (03) :586-594
[50]   Dynamic Robustness of Open-Source Project Knowledge Collaborative Network Based on Opinion Leader Identification [J].
Lei, Shaojuan ;
Zhang, Xiaodong ;
Liu, Suhui .
ENTROPY, 2021, 23 (09)