Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions

Bibliographic Data

ID7538749
AuthorsPeihua Fu (0000-0001-5150-6464, Zhejiang Gongshang University), Bailu Jing (Zhejiang Gongshang University), Tinggui Chen (0000-0001-6061-2517, Zhejiang Gongshang University, corresponding author), Jianjun Yang (0000-0001-6785-9627, University of North Georgia), Guodong Cong (0000-0002-9819-1508, Zhejiang Gongshang University)
Year2020
Volume17
Issue18
Pages6681-6681
Publication date2020-09-14
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17186681
PMID32937813
OpenAlexW3085380814
LanguageEN
Citations received5
References cited32

The occurrence of popular social events causes fluctuations and changes of public emotions, while the rapid development of online social platforms and networks has made individual interactions more intense and further escalated public emotions into public opinion. However, there is a lack of consideration of individual emotions in the current research on online public opinion. Based on this, this paper firstly expounds the quantitative representation of attitude and emotion, analyzes the formation and propagation process of online public opinion by combining individual's expression willingness, individual's expression ability, attitude perception value, attitude change probability and other factors, and constructs a network public opinion propagation model that takes individual emotion into consideration. Finally, the main factors affecting the formation and propagation of network public opinion are discussed through simulation experiments. The results demonstrate that: (1) fear is conducive to the formation of online public opinion, but the speed is relatively slow; sadness is not conducive to the formation, but once enough people participate in the exchange of views, the formation of online public opinion will be faster; (2) the influence of online public opinion on individual emotions expands with the increase of the number of individual interactions; (3) different network structures impact differently on the propagation of public opinion. Among them, BA (BA network is a scale-free network model proposed by Barabasi and Albert in order to explain the generation mechanism of power law, BA model has two characteristics: growth and priority connection mechanism) and ER (ER network is a network with random connectivity proposed by Erdös-Renyi) random networks can promote the propagation of online public opinion, which is prone to "one-sided" online public opinion. WS small-world networks (proposed by Watts and Strogatz. It is a kind of network with short average path length and high clustering coefficient) and fully-connected networks have an inhibitory effect on the spread of online public opinion, easily maintaining the multi-dimensional nature of online public opinion

Cognitive psychology · Political science · Public opinion · Advanced Text Analysis Techniques · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Psychology

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