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Algorithm Research & Explore
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2717-2722,2744

LPANNI optimization algorithm based on cycle structure

Liu Jia,b
Jia Fangdia
a. School of Statistics & Data Science, b. Xinjiang Research Center of Social Economic Statistics & Big Data Application, Xinjiang University of Finance & Economics, Urumqi 830012, China

Abstract

In order to improve the accuracy of overlapping community detection, this paper proposed an LPANNI optimization algorithm CLPANNI based on cycle structure by mining the minimum circle information of nodes, measuring the importance of nodes according to the circle ratio index and updating labels in ascending order. This algorithm increased the stability of label propagation process, and received the labels transmitted by neighbor nodes according to the influence of neighbor nodes. Compared with four benchmark algorithms in NMI_ LFK, NMI_ MGH and Mov indicators, CLPANNI algorithm performed well in the accuracy of community discovery. Experimental results show that the algorithm can effectively detect the overlapping community structure of the network, find the close sub clusters of the network, and the identified community distribution is closer to the real network structure.

Foundation Support

国家自然科学基金资助项目(72164034,71762028)
新疆维吾尔自治区高校科研计划资助项目(XJEDU2019SI006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0078
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2717-2722,2744
Serial Number: 1001-3695(2022)09-024-2717-06

Publish History

[2022-04-29] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

刘继, 贾芳弟. 基于圈结构的LPANNI优化算法 [J]. 计算机应用研究, 2022, 39 (9): 2717-2722,2744. (Liu Ji, Jia Fangdi. LPANNI optimization algorithm based on cycle structure [J]. Application Research of Computers, 2022, 39 (9): 2717-2722,2744. )

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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