Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
470-475

Community detection algorithm for large-scale networks by graph reconstruction

Chen Yanbinga,b
Zhang Yinglongb
a. School of Computer, b. College of Physics & Information Engineering, Minnan Normal University, Zhangzhou Fujian 363000, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0331

Abstract

High-quality community detection for large-scale complex networks usually depends on the topology of the graph, which used to divide the node set. However, real-world networks usually have noisy and cluster-independent links, which may cause the model to divide the nodes from different clusters together. This paper proposed a algorithm called graph reconstruction based community detection(GRCD). This method could handle community detection in large-scale complex networks. GRCD firstly deleted the connected edges between communities to reconstruct the community structure of the original graph. Subsequently, GRCD regarded the network as a social system, aiming to reveal the community in a more intuitive way. This paper proposed an efficient community detection strategy: a community organization generation strategy based on discourse power. Extensive experiments were performed on datasets of different sizes. The results show that GRCD can not only deal with large-scale networks, but also has strong competitiveness in the quality of its community division compared with several existing benchmark algorithms while maintaining high stability.

Foundation Support

国家自然科学基金资助项目(61762036)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0331
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 470-475
Serial Number: 1001-3695(2023)02-026-0470-06

Publish History

[2022-09-19] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

陈燕兵, 张应龙. 图重构下大规模网络的社团检测算法 [J]. 计算机应用研究, 2023, 40 (2): 470-475. (Chen Yanbing, Zhang Yinglong. Community detection algorithm for large-scale networks by graph reconstruction [J]. Application Research of Computers, 2023, 40 (2): 470-475. )

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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