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author:

Cheng, Quan (Cheng, Quan.) [1] | Zhang, Yan-Gang (Zhang, Yan-Gang.) [2] | Li, Yi-Quan (Li, Yi-Quan.) [3]

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EI

Abstract:

Public health emergencies occurred frequently, which usually result in the negative Internet public opinion events. In the complex network information ecological environment, multiple public opinion events may be aggregated to generate public opinion resonance due to the topic category, the mutual correlation of the subject involved, and the compound accumulation of specific emotions. In order to reveal the phenomenon and regulations of the public opinion resonance, we firstly analyze the influence factors of the Internet public opinion events in the public health emergencies. Then, based on Langevin's equation, we propose the Internet public opinion stochastic resonance model considering the topic relevance. Furthermore, three exact public health emergencies in China are provided to reveal the regulations of evoked events 'revival'caused by original events. We observe that the Langevin stochastic resonance model considering topic relevance can effectively reveal the resonance phenomenon of Internet public opinion caused by public health emergencies. For the original model without considering the topic relevance, the new model is more sensitive. Meanwhile, it is found that the degree of topic relevance between public health emergencies has a significant positive correlation with the intensity of Internet public opinion resonance. © 2021 Quan Cheng et al.

Keyword:

Circuit resonance Complex networks Magnetic resonance Public health Social aspects Stochastic models Stochastic systems

Community:

  • [ 1 ] [Cheng, Quan]School of Economics and Management, Fuzhou University, Fuzhou, Fujian; 350116, China
  • [ 2 ] [Zhang, Yan-Gang]School of Economics and Management, Fuzhou University, Fuzhou, Fujian; 350116, China
  • [ 3 ] [Li, Yi-Quan]School of Economics and Management, Fuzhou University, Fuzhou, Fujian; 350116, China

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Source :

Mathematical Problems in Engineering

ISSN: 1024-123X

Year: 2021

Volume: 2021

1 . 4 3

JCR@2021

1 . 4 3 0

JCR@2021

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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