App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 10

Dynamic community detection method for coping with significant changes

Liu Ao
Zhang Junjie
Wang Huan
Zhang Qingming
School of Computer Science & Technology, Southwest University of Science & Technology, Mianyang Sichuan 621000, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0024

Abstract

In real-world networks, the structure and connections are constantly evolving over time. Detecting community changes in dynamic networks has always been an important research topic. When such changes are significant, it leads to difficulty for community detection algorithms to effectively utilize valuable information from the previous network snapshot, resulting in negative transfer in the next time step. To address the issue of poor algorithm adaptability to network mutations, a dynamic community detection algorithm based on genetic evolution ideas and higher-order knowledge transfer strategies is proposed. Firstly, the adjacency matrix similarity of adjacent snapshots is used to determine the use of first-order or higher-order information. Then, the spider web model is employed for population initialization, followed by the non-dominated sorting genetic algorithm NSGA-II to iteratively obtain multi-objective optimal solutions on the Pareto front. A novel gene crossover method is designed to enhance population diversity. Finally, experimental results on multiple real and simulated datasets demonstrate that, compared to existing algorithms, the proposed method achieves higher temporal smoothness in community detection results during network upheavals while maintaining a good community modularity level.

Foundation Support

国家自然科学基金资助项目(61802320)
四川省科技计划重点研发项目(2020YFG0218)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0024
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-04-19] Accepted Paper

Cite This Article

刘澳, 张珺杰, 王焕, 等. 应对显著变化的动态社区检测方法 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0024. (Liu Ao, Zhang Junjie, Wang Huan, et al. Dynamic community detection method for coping with significant changes [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0024. )

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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