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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
377-381

Weighted network overlap community partition algorithm based on node dependency degree

Fu Lidong1,2
Hao Wei1
Li Fan1
1. College of Computer Science & Technology, Xi'an University of Science & Technology, Xi'an 710054, China
2. School of Computer Science & Technology, Xidian University, Xi'an 710071, China
DOI: 10.19734/j.issn.1001-3695.2020.02.0014

Abstract

Aiming at the problem that the traditional community dividing algorithms ignore the real-world network characteristics and the accuracy of community dividing is low, this paper proposed a weighted network overlapping community dividing algorithm based on node membership. The algorithm proposed a weighted network model and obtained a weighted network that could describe the real network structure through the model. It defined the core community by the network topology structure, and the core community played an important role in the accuracy of community division. The algorithm calculated the degree of membership between the node and the core community, and compared it with the threshold of membership to expand the core community. According to the optimization idea of the extended modularity, by continuously adjusting the thres-hold of membership until obtained the optimal community structure, it divided the overlapping community. Compared with the existing algorithms on the artificial network dataset and the real-world network dataset, the experimental result verifies that the proposed algorithm can accurately and effectively detect overlapping communities.

Foundation Support

国家自然科学基金资助项目(61432010,61502363)
陕西省自然科学基础研究项目(2020JM-526,2020JM-533)
西安科技大学博士后科研启动项目(2018QDJ049)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.02.0014
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 377-381
Serial Number: 1001-3695(2021)02-009-0377-05

Publish History

[2021-02-05] Printed Article

Cite This Article

付立东, 郝伟, 李凡. 基于节点从属度的加权网络重叠社区划分算法 [J]. 计算机应用研究, 2021, 38 (2): 377-381. (Fu Lidong, Hao Wei, Li Fan. Weighted network overlap community partition algorithm based on node dependency degree [J]. Application Research of Computers, 2021, 38 (2): 377-381. )

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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