Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
479-484

Complex network clustering feature multi-level layout algorithm

Zhou Rui1
Wang Guijuan1
Deng Haotian1
Cai Mengjie1
Zhao Weixin1
Tan Boyou1
Wu Yadong2
1. College of Computer Science & Technology, Southwest University of Science & Technology, Mianyang Sichuan 621000, China
2. College of Computer Science & Engineering, Sichuan University of Science & Engineering, Zigong Sichuan 643000, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0272

Abstract

The discovery of network clustering patterns is an important task in network analysis. A good network layout should reflect the clustering characteristics of the network and allow users to explore the network structure from different levels. For this reason, based on the idea of community division and multi-level layout, this paper proposed a clustering feature hierarchical layout algorithm. First, used seed nodes and personalized PageRank to divide the network. Secondly, it coarsened the network according to the results of the division, and designed the initial layout of the coarsened network. Then it used the node degree information to improve the force-oriented model to complete the refinement. Finally, in order to verify the effectiveness of the algorithm, experiments from the whole to the part were carried out. The experiment shows that the algorithm can generate high-quality layout results within an effective time. Compared with the existing layout algorithms, the proposed algorithm can truly display the network. Clustering features, while taking into account the network microstructure, it can meet the needs of users to explore the network structure from different levels.

Foundation Support

国家自然科学基金资助项目(61872304,61802320)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0272
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Algorithm Research & Explore
Pages: 479-484
Serial Number: 1001-3695(2022)02-026-0479-06

Publish History

[2021-09-19] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

周锐, 王桂娟, 邓皓天, 等. 复杂网络聚类特征层次布局算法 [J]. 计算机应用研究, 2022, 39 (2): 479-484. (Zhou Rui, Wang Guijuan, Deng Haotian, et al. Complex network clustering feature multi-level layout algorithm [J]. Application Research of Computers, 2022, 39 (2): 479-484. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)