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

doi:10.16265/j.cnki.issn 1003-3033.2021.02.003

Abstract

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)

CLC Number:

X928. 03

WANG Shengmin, SONG Yinghua, LIU Dan, CHEN Hongzhou, FANG Jun. Network emotion propagation model of public health emergencies based on social combustion theory[J]. China Safety Science Journal, 2021, 31(2): 16-23.

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