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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 11

Influence identification in multilayer networks based on dynamic centrality

Liao Zenan
Cao Chunping
Liang Yunshu
Shao Yucheng
School of Optical-Electrical&Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0124

Abstract

Synergistic effects among multilayer networks significantly influence propagation dynamics, making influence identification critical for precision control and traffic optimization. Traditional single-layer analysis methods failed to capture interactive mechanisms and nonlinear propagation in multilayer structures. To address this challenge, a dynamic centrality-based influence identification method was proposed for multilayer networks, designed to pinpoint pivotal nodes in synergistic multilayer networks. Specifically, dynamic propagation parameters and an inter-layer dynamic interaction centrality algorithm were developed based on intra-layer node quality differences and inter-layer interaction mechanisms, enhancing the universality and effectiveness of centrality measurement; An adaptive propagation model integrating neural networks' predictive capability with traditional models' interpretability was constructed to model and predict complex propagation processes. Experimental results show a final imprecision of 0.175 on dynamic multilayer datasets, providing theoretical and practical solutions for influence analysis and propagation control.

Foundation Support

国家重点研发计划资助项目(2021YFF0600605)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0124
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 11

Publish History

[2025-07-24] Accepted Paper

Cite This Article

廖泽南, 曹春萍, 梁云舒, 等. 基于动态中心性的多层网络影响力识别方法 [J]. 计算机应用研究, 2025, 42 (11). (2025-07-24). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0124. (Liao Zenan, Cao Chunping, Liang Yunshu, et al. Influence identification in multilayer networks based on dynamic centrality [J]. Application Research of Computers, 2025, 42 (11). (2025-07-24). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0124. )

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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