清华大学学报（自然科学版）2025，Vol.65Issue(6)：1040-1049,10.DOI:10.16511/j.cnki.qhdxxb.2025.22.013
"社会强化-个体调节"双重机制影响下突发公共危机事件网络负面情绪传播模型
Modeling the spread of negative emotions in social networks during sudden public crisis events:Dual mechanisms of social reinforcement and individual regulation
摘要
Abstract
[Objective]This study integrates social attributes of human behavior as an independent mechanism within the analytical framework of negative emotion propagation dynamics.It aims to provide a comprehensive understanding of how negative emotions spread across social networks and establish a scientific basis for effective public opinion management and crisis response.[Methods]This study examines the distinct mechanisms of social reinforcement and individual regulation that differentiate the spread of negative emotions in social networks from that of traditional infectious diseases.A heterogeneous propagation threshold model,named the SI-SEIR(social reinforcement and individual regulation susceptible-exposed-infected-recovered)model,incorporates a dual influence mechanism of"social reinforcement-individual regulation".First,we develop a non-Markovian negative emotion propagation model,considering social reinforcement and variations in individual emotion regulation abilities.We then extend the edge-based compartmental theory to determine the theoretical outbreak threshold and final propagation scale,including both continuous and discontinuous phase transitions.Extensive numerical simulations are conducted based on data from the Weibo network,using the Hubei Province Red Cross Society incident at the early stage of the COVID-19 pandemic to validate the effectiveness of the SI-SEIR model.[Results]The findings show that individual emotion regulation abilities and social reinforcement significantly impact the spread of negative emotions.Improving individuals'emotion regulation ability and decreasing social reinforcement intensity can help effectively reduce large-scale outbreaks of negative emotions during public crises.Moreover,the network's topology feature significantly influences propagation outcomes.When individuals have relatively uniform emotion regulation abilities,a higher average degree of the network substantially raises the outbreak threshold,thereby reducing the likelihood of widespread diffusion.Increasing network heterogeneity can help increase the outbreak threshold and reduce the spread of negative emotions.[Conclusions]Considering both social reinforcement and individual emotion regulation mechanisms is critical for accurately modeling and predicting the dynamics of negative emotion propagation in social networks.关键词
突发公共危机事件/网络负面情绪传播/社会强化/情绪调节/边划分理论Key words
sudden public crisis events/online negative emotion propagation/social reinforcement/individual regulation/edge-based compartmental theory分类
信息技术与安全科学引用本文复制引用
王甜甜,刘铁忠,李聪聪.."社会强化-个体调节"双重机制影响下突发公共危机事件网络负面情绪传播模型[J].清华大学学报（自然科学版）,2025,65(6):1040-1049,10.基金项目
国家社会科学基金项目(21BGL299) （21BGL299）
