On the Dissemination of Negative Public Opinions on a Certain Stage

Research Article
Open access

On the Dissemination of Negative Public Opinions on a Certain Stage

Sizhe Liu 1*
  • 1 Department of Pure and Applied Math, Northwestern Polytechnical University, Xi’an, PR China    
  • *corresponding author liu2500516595@mail.nwpu.edu.cn
Published on 22 March 2023 | https://doi.org/10.54254/2755-2721/2/20220550
ACE Vol.2
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-19-5
ISBN (Online): 978-1-915371-20-1

Abstract

In the previous study we have already known that SIR model can be used to deal with the public opinion problem. On the basis of this, in this paper we proposed a new model which can describe the dissemination of the public opinion, especially the negative ones more precisely and efficiently. We separate people into 4 parts to describe their different state when received the information and use method of dynamic system to find out the final state of the system. From this study, we give a explanation about the phenomenon that public opinions always disappear.

Keywords:

Public opinion, SIR

Liu,S. (2023). On the Dissemination of Negative Public Opinions on a Certain Stage. Applied and Computational Engineering,2,1037-1043.
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References

[1]. Yuan, Jiangjun, et al. "Modelling network public opinion polarization based on SIR model considering dynamic network structure." Alexandria Engineering Journal 61.6 (2022): 4557-4571.

[2]. Chen, Tinggui, et al. "Combining public opinion dissemination with polarization process considering individual heterogeneity." Healthcare. Vol. 9. No. 2. Multidisciplinary Digital Publishing Institute, 2021.

[3]. Ross R (1 February 1916). "An application of the theory of probabilities to the study of a priori pathometry.—Part I". Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character. 92 (638): 204–230.

Cite this article

Liu,S. (2023). On the Dissemination of Negative Public Opinions on a Certain Stage. Applied and Computational Engineering,2,1037-1043.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)

ISBN：978-1-915371-19-5(Print) / 978-1-915371-20-1(Online)
Editor：Alan Wang
Conference website: https://www.confcds.org/
Conference date: 16 July 2022
Series: Applied and Computational Engineering
Volume number: Vol.2
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Yuan, Jiangjun, et al. "Modelling network public opinion polarization based on SIR model considering dynamic network structure." Alexandria Engineering Journal 61.6 (2022): 4557-4571.

[2]. Chen, Tinggui, et al. "Combining public opinion dissemination with polarization process considering individual heterogeneity." Healthcare. Vol. 9. No. 2. Multidisciplinary Digital Publishing Institute, 2021.

[3]. Ross R (1 February 1916). "An application of the theory of probabilities to the study of a priori pathometry.—Part I". Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character. 92 (638): 204–230.

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