Algorithm Research & Explore
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1380-1384

Communities detection during increment of modularity and local modularity

Liu Mingyang
Zhang Xihuang
School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

Community structure is one of the important characteristics of Complex Network, the community detection algorithms with hierarchical clustering makes good use of modularity to achieve community detection, but its limitations lead to poor detection quality of networks which have complex structure of community and it may fail to identify communities smaller than a scale. This paper used local modularity to make up the lack of modularity on the basis of hierarchical clustering, it can avoid unreasonable result. The algorithm is tested on real-world data sets and artificial network, experimental results confirm that it has feasibility and effectiveness.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0750
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Algorithm Research & Explore
Pages: 1380-1384
Serial Number: 1001-3695(2019)05-021-1380-05

Publish History

[2019-05-05] Printed Article

Cite This Article

刘明阳, 张曦煌. 模块度增量与局部模块度引导下的社区发现算法 [J]. 计算机应用研究, 2019, 36 (5): 1380-1384. (Liu Mingyang, Zhang Xihuang. Communities detection during increment of modularity and local modularity [J]. Application Research of Computers, 2019, 36 (5): 1380-1384. )

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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