Algorithm Research & Explore
|
3270-3274

Link prediction method based on K-shell decomposition and neighbor node degree denoising

Zhang Xikang
Li Zetao
School of Electrical Engineering, Guizhou University, Guiyang 550025, China

Abstract

Link prediction is an important tool to study the structure and evolution mechanism of complex networks, and it is of great value to improve the accuracy of link prediction. To address the problem of low prediction accuracy of traditional network topology similarity-based algorithms, this paper proposed a link prediction method based on K-shell decomposition with neighbor node degree(KSDNN) denoising from the perspective of network optimization denoising. The method firstly ranked the importance of all nodes in a complex network by K-shell decomposition from a global perspective, then made a comprehensive evaluation of node importance from a local perspective by combining the degrees of nodes' neighbor nodes, and finally performed link prediction after optimizing the network data. Through verification on four different real networks, the experimental results show that the prediction accuracy of the proposed method is better than that of the K-shell denoising method, and the prediction accuracy is improved by about 2% on average compared with the traditional algorithm.

Foundation Support

国家自然科学基金资助项目(61963009)
贵州省科技计划项目(黔科合支撑[2019]2154号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0146
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Algorithm Research & Explore
Pages: 3270-3274
Serial Number: 1001-3695(2022)11-010-3270-05

Publish History

[2022-06-16] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

张希康, 李泽滔. 基于K-shell分解与邻居节点度去噪的链路预测方法 [J]. 计算机应用研究, 2022, 39 (11): 3270-3274. (Zhang Xikang, Li Zetao. Link prediction method based on K-shell decomposition and neighbor node degree denoising [J]. Application Research of Computers, 2022, 39 (11): 3270-3274. )

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.

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