App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 5

Overlapping community detection algorithm integrating local importance and seed expansion

Fu Lidong
Wu Xin
Wang Yibo
College of Artificial Intelligence and Computer Science, Xi'an University of Science and Technology, Xi'an 710600, China
DOI: 10.19734/j.issn.1001-3695.2025.08.0380

Abstract

To address issues such as seed selection bias and excessive reliance on quality functions in existing overlapping community detection algorithms, this paper proposed the Local Importance and Seed Expansion Overlapping Community Detection (LISEOCD) algorithm. First, the method quantified node importance based on edge neighborhood overlap and selected seeds according to their local importance to reduce randomness in traditional approaches. Second, the method constructed an initial community structure centered around seeds. By calculating the community contribution of nodes to seeds, the method dynamically determined the validity of including nodes in communities. Finally, the method employed an optimization strategy that assigns nodes not covered by any community and merges communities with high overlap, further enhancing the integrity and stability of the community structure. Comparative experiments conducted on real-world networks and the LFR benchmark network against six existing algorithms show that LISEOCD achieves average improvements of 6.6% in extended modularity (EQ) and 4.2% in F1-score over the best-performing local seed-based expansion algorithm. The identified community structures better align with the dynamic characteristics of the network and exhibit higher robustness.

Foundation Support

国家自然科学基金资助项目(62401460)
国家自然科学基金资助项目(12071367)
陕西省自然科学基础研究计划(2023JCYB517)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.08.0380
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 5

Publish History

[2026-01-14] Accepted Paper

Cite This Article

付立东, 武鑫, 王一博. 融合局部重要性与种子扩展的重叠社区发现算法 [J]. 计算机应用研究, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0380. (Fu Lidong, Wu Xin, Wang Yibo. Overlapping community detection algorithm integrating local importance and seed expansion [J]. Application Research of Computers, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0380. )

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.

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