Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Propagation Analysis of Internet Opinion Based on Improved SEIR Model

Authors
Yongjie Chu1, 2, 2, *, Cengceng Liu3, Yuan Zhu1
1School of Management Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China
2Institute of High-Quality Development Evaluation, Nanjing University of Posts and Telecommunications, Nanjing, China
3School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing, China
*Corresponding author. Email: chuyongjie@njupt.edu.cn
Corresponding Author
Yongjie Chu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_198How to use a DOI?
Keywords
Internet opinion; opinion propagation; SEIR model
Abstract

The exposed group play an important role in public opinion propagation since they can either spread or block the information. In this paper, focusing on the propagation uncertainty and spreading effect of the exposed users on the Internet, the SEIR (Susceptible-Exposed-Infected-Recovered) model is reformulated by introducing new parameters. The improved SEIR model is used to depict the opinion propagation. With the help of MATLAB, we conduct extensive simulations to investigate the effect of various parameters of the model on the propagation of Internet opinion. The simulation results show that the infected probability of the exposed and the susceptible users affect both the outbreak time of opinion and the number of infected users, while the exposed probability of the susceptible users affects only the outbreak time of opinion, and the recovered probability of the exposed and infected users makes a difference on the largest number of infected users only. These conclusions can be helpful for the opinion managers to take measures after an opinion event happens.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_198How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yongjie Chu
AU  - Cengceng Liu
AU  - Yuan Zhu
PY  - 2022
DA  - 2022/12/27
TI  - Propagation Analysis of Internet Opinion Based on Improved SEIR Model
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1333
EP  - 1339
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_198
DO  - 10.2991/978-94-6463-040-4_198
ID  - Chu2022
ER  -