双重情绪交叉感染下重大疫情网络舆情传播研究

doi:10.16182/j.issn1004731x.joss.22-0815

系统仿真学报 ›› 2023, Vol. 35 ›› Issue (12): 2582-2593.doi: 10.16182/j.issn1004731x.joss.22-0815

双重情绪交叉感染下重大疫情网络舆情传播研究

张亚明¹^,²^,³(), 苏妍嫄¹^,²^,³(), 赵桂茹¹^,²^,³, 郭晓宇¹^,²^,³

^1.燕山大学经济管理学院, 河北秦皇岛 066004
^2.燕山大学互联网+与产业发展研究中心, 河北秦皇岛 066004
^3.燕山大学区域经济发展研究中心, 河北秦皇岛 066004

收稿日期:2022-07-14 修回日期:2023-01-09 出版日期:2023-12-15 发布日期:2023-12-12
通讯作者: 苏妍嫄 E-mail:yaming99@ysu.edu.cn;suyanyuan1991@126.com
第一作者简介:张亚明(1962-)，男，教授，博士，研究方向为复杂网络信息传播。E-mail：yaming99@ysu.edu.cn
基金资助:
国家自然科学基金(72101227);河北省自然科学基金(G2020203003);河北省教育厅高等学校科技计划(ZD2020199)

Research on Network Public Opinion Propagation Model of Major Epidemics Under Cross-infection of Double Emotions

Zhang Yaming¹^,²^,³(), Su Yanyuan¹^,²^,³(), Zhao Guiru¹^,²^,³, Guo Xiaoyu¹^,²^,³

^1.School of Economics and Management, Yanshan University, Qinhuangdao 066004, China
^2.Center for Internet Plus and Industry Development, Yanshan University, Qinhuangdao 066004, China
^3.Research Center of Regional Economic Development, Yanshan University, Qinhuangdao 066004, China

Received:2022-07-14 Revised:2023-01-09 Online:2023-12-15 Published:2023-12-12
Contact: Su Yanyuan E-mail:yaming99@ysu.edu.cn;suyanyuan1991@126.com

摘要/Abstract

摘要：

重大疫情会引起各种网民情绪的爆发，网民极端情绪交互作用在一定程度上决定着舆情走向。考虑重大疫情下网民情绪异质性与交叉感染性，将舆情信息中情绪因素对网络舆情传播的影响量化为强化度、分歧度和交叉感染率3个维度指标，构建双重情绪交叉感染下的SI_PI_NR舆情传播模型；数值求解平衡点和传播阈值，证明了传播平衡点的稳定性；通过数值仿真揭示重大疫情网络舆情传播规律。研究表明：双重情绪交叉感染的存在将促使重大疫情网络舆情传播更加持久；初始情绪传播者比例不同会影响重大疫情网络舆情传播趋势；情绪强化度、分歧度和双重情绪交叉感染率均对网络舆情传播态势具有重要影响。

关键词: 双重情绪, 交叉感染, 重大疫情, SI_PI_NR模型, 舆情传播

Abstract:

Major epidemics provoke a variety of netizens' emotions. To some degree, the interaction of netizens' intense emotions determine the development direction of public opinion. Considering the complexity and dual emotional contagion, the impact of emotional factors in network public opinion is quantified to three dimensions indicators, emotional enhancement, differences and conversion rates. SI_PI_NR public opinion propagation model is constructed. The equilibrium points and the transmission threshold are estimated and the stability is proved. The law of network public opinion propagation during major epidemics is revealed through numerical simulation. The results show that the dual emotional contagion would lead to a more sustaining network public opinion propagation during major epidemics, the proportions of initial emotion spreaders affect the development trend of network public opinion propagation, the emotional enhancement, differences and conversion rates have important effects on the network public opinion propagation.

Key words: double emotions, cross infection, major epidemic, SI_PI_NR model, public opinion propagation

中图分类号:

TP391.9

张亚明,苏妍嫄,赵桂茹等 . 双重情绪交叉感染下重大疫情网络舆情传播研究[J]. 系统仿真学报, 2023, 35(12): 2582-2593.

Zhang Yaming,Su Yanyuan,Zhao Guiru,et al . Research on Network Public Opinion Propagation Model of Major Epidemics Under Cross-infection of Double Emotions[J]. Journal of System Simulation, 2023, 35(12): 2582-2593.

图/表 11

图1

图2

图3

表1

对照实验参数

组别	强化度λ	分歧度μ	交叉感染率
对照组	$0.3$	$0.45$	$b 1 = 0.000 02$ $b 2 = 0.000 01$
实验1	$0.5$	$0.45$	$b 1 = 0.000 02$ $b 2 = 0.000 01$
实验2	$0.3$	$0.6$ 0	$b 1 = 0.000 02$ $b 2 = 0.000 01$
实验3	$0.3$	$0.45$	$b 1 = 0.000 20$ $b 2 = 0.000 10$

表1

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双重情绪交叉感染下重大疫情网络舆情传播研究

Research on Network Public Opinion Propagation Model of Major Epidemics Under Cross-infection of Double Emotions

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