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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Dynamic network community detection and evolution mode analysis method

Pan Yu1
Yao Feng1
Liu Xin2
Zhang Lei3
Wang Shuaihui4
Wang Pei1
1. National University of Defense Technology, Changsha Hunan 410000, China
2. Army Engineering University, Nanjing Jiangsu 310000, China
3. Academy of Military Science, Beijing 110000, China
4. Naval Command College, Nanjing Jiangsu 310000, China
DOI: 10.19734/j.issn.1001-3695.2024.05.0141

Abstract

How to obtain accurate community structure division at each moment, model the dynamic evolution process of the community, and realize the tracking and analysis of the community evolution model is an important challenge for detecting dynamic network communities. In this paper, we proposed a dynamic network community detection algorithm EC-DCD based on evolutionary clustering. The algorithm utilized the previous community detection results as a priori information to reduce the impact of network noise on community detection. At the same time, we introduced the community evolution matrix to model and track the evolution mode of the community, which can realize the analysis and visualization of the community evolution mode. In the experiment, we test the EC-DCD algorithm with the baseline algorithms FacetNet, DYNMOGA, DNMF, NE2NMF, and CoDeDANet on the artificial datasets and the real datasets. The experimental results show that the proposed method EC-DCD can not only accurately detect the community structure at every moment, but also track the evolution pattern of the community.

Foundation Support

中国博士后科学基金资助项目
国家社会科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.05.0141
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-06] Accepted Paper

Cite This Article

潘雨, 姚锋, 刘鑫, 等. 动态网络社团发现及演化模式分析方法 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.05.0141. (Pan Yu, Yao Feng, Liu Xin, et al. Dynamic network community detection and evolution mode analysis method [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.05.0141. )

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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