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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 6

Research on propagation of competitive public opinion information in multivariate Heterogeneous coupled network

Shen Yana
Xu Yanyanb
a. Dept. of Information Management & Information Systems, b. School of Management, Jiangsu University, Zhenjiang Jiangsu 212000, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0459

Abstract

Aiming at the competition of public opinion information during cross-platform interaction, this paper proposed to analyze the propagation law of competitive public opinion information in coupled network. Introducing opinion dynamics on the basis of SEIR model, this paper added positive and negative information disseminators. Then, it built a coupled network based on small world network and directed scale-free network to meet current social characteristics, and constructed an SEPNCR model for the competitive public opinion information dissemination in multivariate heterogeneous coupled network. This paper simulated and analyzed the effect of single dual platform, information content, and individual heterogeneity in the coupled network, exploring the role of media guidance and government interventions. The simulation results show that the model describes the dissemination process of competitive public opinion information in multivariate heterogeneous coupled network. Compared with single networks, the interaction behaviors in coupled network enhance the scale and speed of opinion dissemination, increase the degree of information diversity and alleviate information homogeneity. The emotional color and sensitivity of information directly affect the competitive situation of public opinion information. Media guidance and the timing of government intervention have a significant effect on controlling the dissemination of public opinion. The study provides a theoretical basis for the analysis of the evolution of online public opinion and a scientific decision-making reference for public opinion guidance and governance.

Foundation Support

国家自然科学基金(61702229)
江苏省社科基金项目(23TQB002)
江苏省产学研合作项目(BY2021075)
江苏大学高等教育教改研究课题立项建设项目重点课题(2021JGZD022)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0459
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 6

Publish History

[2025-03-10] Accepted Paper

Cite This Article

申彦, 许严妍. 多元异构耦合网络中竞争性舆情信息传播研究 [J]. 计算机应用研究, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0459. (Shen Yan, Xu Yanyan. Research on propagation of competitive public opinion information in multivariate Heterogeneous coupled network [J]. Application Research of Computers, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0459. )

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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