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A novel overlapping community detection strategy based on Core-Bridge seeds

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Abstract

The last decade has witnessed the advance of overlapping community detection based on local expansion. In this paper, we propose a novel local expanding-based overlapping community detection algorithm, denoted by Core and Bridge Seeds Extension, that aims to improve the quality of communities. Instead of the traditional approaches to select the cores of communities as seeds, a new Core-Bridge triplet strategy is suggested to select seeds to generate the initial backbone and framework of the community. In the optimization stage, a stepwise refinement approach is adopted to solve the issue of unreasonable division and unassigned node allocation. A merge index is designed to merge communities reasonably. The comparisons about the methods to improve accuracy of community numbers based on the known algorithms are also presented. Experimental results on synthetic networks and real networks show that our strategy outperforms the state-of-art algorithms in stability and effectiveness.

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No datasets were generated or analysed during the current study.

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Acknowledgements

The authors would like to express their sincere gratitude to all reviewers for valuable suggestions, which are helpful in improving and clarifying the original manuscript. We thank the National Institute of Education, Nanyang Technological University, where part of this research was performed. This work was partly supported by the National Natural Science Foundation of China (Nos. 61977016 and 61572010), Natural Science Foundation of Fujian Province (Nos. 2020J01164, 2017J01738). This work was also partly supported by Fujian Alliance of Mathematics (No. 2023SXLMMS04) and China Scholarship Council (CSC No. 202108350054).

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Authors and Affiliations

  1. School of Computer and Cyber Security, Fujian Normal University, XueFu South Street, Fuzhou, 350117, China

    Gaolin Chen

  2. School of Mathematics and Statistics, Fujian Normal University, XueFu South Street, Fuzhou, 350117, China

    Shuming Zhou

  3. Center for Applied Mathematics of Fujian Province, Fujian Normal University, XueFu South Street, Fuzhou, 350117, China

    Shuming Zhou

  4. Key Laboratory of Analytical Mathematics and Applications (Ministry of Education), Fujian Normal University, XueFu South Street, Fuzhou, 350117, China

    Shuming Zhou

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  1. Gaolin Chen
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Correspondence to Shuming Zhou.

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Chen, G., Zhou, S. A novel overlapping community detection strategy based on Core-Bridge seeds. Int. J. Mach. Learn. & Cyber. 15, 2131–2147 (2024). https://doi.org/10.1007/s13042-023-02020-3

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