Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1363-1370

Self-organizing overlapping community structure analysis algorithm based on swarm intelligence

Sun Hanlina,b
Ma Suganga,b
Wang Zhongmina,b
a. School of Computer Science & Technology, b. Shaanxi Key Laboratory of Network Data Intelligent Processing, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0733

Abstract

Community structure analysis is a critical task in examining a complex network. This paper presented a self-organizing overlapping community structure analysis algorithm(SO2CSA2) based on the swarm intelligence theory. The basic idea behind the algorithm was that it treats an analyzed network as a swarm intelligence system, of which each node was an individual with simple intelligence. Each individual independently decides to which community it joined based on a defined metric named connection score. An individual could join to multiple communities simultaneously. At first, the algorithm found a set of K-cliques from the analyzed network as the initial community structure. Then, each individual in the system acted iteratively to join into or leave from communities, and an optimal community structure of the whole network could develop and eventually emerge from the initial community structure. Finally, to improve the quality of the obtained community structure, a post process adjusted community assignments of a small number of individuals. Experimental evaluation on a number of synthesized networks and real-world networks indicates that the quality of community structures discovered by SO2CSA2 is better than those of two compared algorithms, SLPA and OSLOM, especially on networks with a large number of overlapping nodes or on networks with overlapping nodes of which overlapping degrees are high.

Foundation Support

陕西省科技统筹创新工程计划资助项目(2016KTZDGY04-01)
陕西省自然科学基础研究计划资助项目(2016JM6048)
陕西省自然科学与技术研究计划资助项目(2016GY-092)
陕西省教育厅专项科学研究项目(16JK1687)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0733
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Algorithm Research & Explore
Pages: 1363-1370
Serial Number: 1001-3695(2019)05-018-1363-08

Publish History

[2019-05-05] Printed Article

Cite This Article

孙韩林, 马素刚, 王忠民. 基于群体智能的自组织重叠社团结构分析算法 [J]. 计算机应用研究, 2019, 36 (5): 1363-1370. (Sun Hanlin, Ma Sugang, Wang Zhongmin. Self-organizing overlapping community structure analysis algorithm based on swarm intelligence [J]. Application Research of Computers, 2019, 36 (5): 1363-1370. )

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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