In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Algorithm Research & Explore
|
385-389,398

Cuckoo search algorithm combining gene inheritance and greedy search for community detection

Wang Xiaogang
Yan Guanghui
Zhou Ning
School of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Abstract

In order to improve the accuracy of community detection for complex networks, this paper proposed an algorithm based on cuckoo search algorithm combining gene inheritance and greedy search(GGCSCA) to optimize modularity for community detection. Cuckoos walked randomly on ordered adjacent table and employed gene inheritance strategy, which aimed to optimize population efficiently. The algorithm improved population quality quickly by greedy preference search of local modularity increment maximum for the purpose of getting good result of community partition. GGCSCA had been tested on both benchmark networks and some typical complex networks, and compared with some typical community detection algorithms. Experimental results show the effectiveness, accuracy and fast convergence of this algorithm for discovering community structure. It has strong capability of community identification and can detect the structure of community finely.

Foundation Support

国家自然科学基金资助项目(61163010,61650207)
甘肃省科技计划资助项目(1610RJZA059)
兰州市科技计划资助项目(2014-1-171)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0871
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 385-389,398
Serial Number: 1001-3695(2019)02-016-0385-05

Publish History

[2019-02-05] Printed Article

Cite This Article

王小刚, 闫光辉, 周宁. 结合基因遗传和贪婪搜索的布谷鸟社区检测算法 [J]. 计算机应用研究, 2019, 36 (2): 385-389,398. (Wang Xiaogang, Yan Guanghui, Zhou Ning. Cuckoo search algorithm combining gene inheritance and greedy search for community detection [J]. Application Research of Computers, 2019, 36 (2): 385-389,398. )

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)