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System Development & Application
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3376-3381

Propagation model and simulation of positive and negative Internet public opinion information based on improved SIR

Song Yinghuaa,b
Xia Yaqionga,b
Fang Danhuia,b
Wang Cuia,b
a. School of Safety Science & Emergency Management, b. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China

Abstract

Aiming at the coexistence of positive and negative information in the process of network public opinion dissemination, this paper introduced positive information clarifier C on the basis of the SIR model to construct an SCIR model for the simultaneous dissemination of positive and negative information. Considering the homepage effect and the heterogeneity of netizens, this paper used multi-agent simulation technology to simulate the spread of public opinion. The simulation results show that the SCIR model is more consistent with the dissemination of public opinion in the real network than the SIR model. The higher the credibility of the statements made by third-party organizations on the homepage, the more conducive to the control of public opinion, but there are thresholds. The homepage effect has both positive and negative effects on the results of online public opinion. Both the heterogeneity of netizens and the dissemination rate of positive and negative information have a significant impact on the outcome of the competition between positive and negative information.

Foundation Support

国家“十三五”重点研发计划资助项目(2018YFC0807000)
国家重点研发计划资助项目(2021YFF0306000)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0120
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: System Development & Application
Pages: 3376-3381
Serial Number: 1001-3695(2021)11-030-3376-06

Publish History

[2021-11-05] Printed Article

Cite This Article

宋英华, 夏亚琼, 方丹辉, 等. 基于改进SIR的正负面网络舆情信息传播模型与仿真 [J]. 计算机应用研究, 2021, 38 (11): 3376-3381. (Song Yinghua, Xia Yaqiong, Fang Danhui, et al. Propagation model and simulation of positive and negative Internet public opinion information based on improved SIR [J]. Application Research of Computers, 2021, 38 (11): 3376-3381. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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