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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
1122-1127

Method for identifying key nodes in complex networks based on improved DDQN algorithm

Jiang Yunana
Liu Linlana
Shu Jianb
a. School of Information Engineering, b. School of Software, Nanchang Hangkong University, Nanchang 330063, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0327

Abstract

To comprehensively extract global features of nodes and enhance the accuracy of identifying key nodes in complex networks, this paper proposed a method based on an improved DDQN algorithm for key node identification in complex networks. By redefining the initial reward values of DDQN, introducing backtracking exploration and priority access methods, it enhanced the DDQN algorithm to extract the global features of nodes, thereby improving the efficiency of global feature extraction and the accuracy of the extracted results. Introducing clustering coefficient to extract the local features of nodes, deriving fusion parameters for global and local features through mean network performance experiments, and integrating global and local features to rank the importance of nodes, thus achieving key node identification. Experimental results on seven real network datasets demonstrate that this method outperforms the baseline methods in terms of evaluation indicator based on mean network performance and the SIR model. This serves as evidence that this method can comprehensively extract global features of nodes and accurately identify key nodes.

Foundation Support

国家自然科学基金资助项目(62062050)
江西省研究生创新专项资金资助项目(YC2023-25)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0327
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Algorithm Research & Explore
Pages: 1122-1127
Serial Number: 1001-3695(2025)04-021-1122-06

Publish History

[2025-04-05] Printed Article

Cite This Article

江宇楠, 刘琳岚, 舒坚. 基于改进DDQN算法的复杂网络关键节点识别方法 [J]. 计算机应用研究, 2025, 42 (4): 1122-1127. (Jiang Yunan, Liu Linlan, Shu Jian. Method for identifying key nodes in complex networks based on improved DDQN algorithm [J]. Application Research of Computers, 2025, 42 (4): 1122-1127. )

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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