中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (2): 16-23.doi: 10.16265/j.cnki.issn 1003-3033.2021.02.003

• 安全社会科学与安全管理 • 上一篇    下一篇

基于社会燃烧理论的突发公共卫生事件网络情绪传播模型

王晟旻1,2, 宋英华**2,3 教授, 刘丹2,3 副教授, 陈洪州2,3, 方俊1 教授   

  1. 1 武汉理工大学 土木工程与建筑学院,湖北 武汉 430070;
    2 安全预警与应急联动技术湖北省协同创新中心,湖北 武汉 430070;
    3 武汉理工大学 中国应急管理研究中心,湖北 武汉 430070
  • 收稿日期:2020-11-20 修回日期:2021-01-09 出版日期:2021-02-28 发布日期:2021-08-18
  • 通讯作者: ** 宋英华(1962—),男,湖北武汉人,博士,教授,博士生导师,主要从事公共安全与应急管理方面的研究。E-mail:song6688c@163.com。
  • 作者简介:王晟旻 (1991—),男,湖北武汉人,博士研究生,研究方向为网络舆情管控、项目管理及信息化等。E-mail: wsm910429@whut.edu.cn。
  • 基金资助:
    国家重点研发计划课题(2018YFC0807001);国家社会科学基金青年项目资助(16CTQ022);中央高校基本科研业务费(2020VI003, 2020VI004)。

Network emotion propagation model of public health emergencies based on social combustion theory

WANG Shengmin1,2, SONG Yinghua2,3, LIU Dan2,3, CHEN Hongzhou2,3, FANG Jun1   

  1. 1 School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan Hubei 430070, China;
    2 Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan Hubei 430070, China;
    3 China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
  • Received:2020-11-20 Revised:2021-01-09 Online:2021-02-28 Published:2021-08-18

摘要: 为有效引导和管控突发公共卫生事件网络舆情,考虑社会相关性和网络群体间情绪状态转移的不确定性,基于社会燃烧理论研究突发公共卫生事件网络情绪传播机制。首先基于社会燃烧理论分析网络用户群体的社会影响因素,建立未燃-阴燃-燃烧-抑燃-稳定(UDBFS)网络情绪传播模型和考虑干预措施的网络情绪传播模型;然后以新冠肺炎(COVID-19)疫情为例,开展模拟仿真与干预试验,验证模型和干预措施的合理性,分析干预措施强度对网络情绪传播的影响。研究结果表明:模型便于描述新冠肺炎疫情网络情绪传播过程,干预措施能有效抑制不良网络情绪的传播,并使燃烧用户群体数量下降32.9%;同时降低“社会点火温度”,可迅速减少事件爆发后短时间内“燃烧”用户群体数量。

关键词: 社会燃烧理论, 突发公共卫生事件, 网络情绪传播, 干预措施, 新冠肺炎(COVID-19)

Abstract: To effectively guide and control online public opinion under public health emergencies, online emotional transmission mechanism of public health emergencies was studied based on social combustion theory by considering social relevance and uncertainty of emotional state transfer between network groups. Firstly, based on social combustion theory, social influencing factors of network user groups were analyzed, and network emotion propagation model of unflaring - smouldering - burning - suppression - stabilization (UDBFS) and network emotion propagation model considering intervention measures were established. Then, take COVID-19 epidemic as an example, simulation and intervention tests were carried out, rationality of model and intervention measures were verifed, and impact of intensity of intervention measures on online emotional transmission was analysed. The results show that model is convenient to describe the spread of online emotions in COVID-19 epidemic, and intervention measures can effectively suppress the spread of bad online emotions, and reduce the number of users of combustion by 32.9%. At the same time, lowering the “social ignition temperature“can rapidly reduce the number of “combustion” users within a short time after outbreak of event.

Key words: social combustion theory, public health emergency, network emotions propagation, intervention measures, corona virus disease 2019(COVID-19)

中图分类号: