research-article

Fuzzy Community Detection Based on Elite Symbiotic Organisms Search and Node Neighborhood Information

Authors:

Xiao-Ke XuAuthors Info & Claims

IEEE Transactions on Fuzzy Systems, Volume 30, Issue 7

Pages 2500 - 2514

https://doi.org/10.1109/TFUZZ.2021.3087235

Published: 01 July 2022 Publication History

Abstract

In the last decade, fuzzy community detection has received increasing attention, since it cannot only uncover the community structure of a network, but also reflect the membership degrees of each node to multiple communities. Although some pioneers proposed a few algorithms for finding fuzzy communities, there is still room for further improvement in the quality of detected fuzzy communities. In this study, a metaheuristic-based modularity optimization algorithm, named symbiotic organisms search fuzzy community detection (SOSFCD) is proposed. On the one hand, an improved bioinspired metaheuristic algorithm, elite symbiotic organisms search, is designed as optimization strategy to improve the global convergence of fuzzy modularity optimization. On the other hand, a neighbor-based membership modification operation is proposed to intensify exploitation ability and speed up convergence, by efficiently utilizing local information (i.e., node neighborhood) of network topology. Experimental results on both of synthetic and real-life networks with different scales and characteristics show that SOSFCD can find max-modularity fuzzy partitions and coverings, and outperforms many state-of-the-art algorithms in terms of accuracy and stability.

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Cited By

Zhang LYang HYang SZhang X(2023)A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]IEEE Computational Intelligence Magazine10.1109/MCI.2023.327777318:3(69-86)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/MCI.2023.3277773

Index Terms

Fuzzy Community Detection Based on Elite Symbiotic Organisms Search and Node Neighborhood Information
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
    2. Search methodologies
2. Theory of computation
  1. Design and analysis of algorithms

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Transactions on Fuzzy Systems

IEEE Transactions on Fuzzy Systems Volume 30, Issue 7

July 2022

641 pages

ISSN:1063-6706

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1063-6706 © 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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Published: 01 July 2022

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Cited By

Zhang LYang HYang SZhang X(2023)A Macro-Micro Population-Based Co-Evolutionary Multi-Objective Algorithm for Community Detection in Complex Networks [Research Frontier]IEEE Computational Intelligence Magazine10.1109/MCI.2023.327777318:3(69-86)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1109/MCI.2023.3277773

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