Seeding based on complex factors-local fitness method

Jieling Hu; Yufei Yang; Xianhua Dai

doi:10.1117/12.2682869

16 June 2023 Seeding based on complex factors-local fitness method

Jieling Hu, Yufei Yang, Xianhua Dai

Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 1270312 (2023) https://doi.org/10.1117/12.2682869
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China

Abstract

This paper studies the static network community detection algorithm, improves the overlapping community detection algorithm LFM based on local expansion, and improves the randomness and redundancy of this algorithm in the process of seed selection and community expansion. Vertex influence and their similarity are used to select seeds, and the redundant steps in community expansion are optimized, and the SCF-LFM algorithm is proposed. The experimental results show that the algorithm has improved accuracy and modularity, and the result of the division has a high degree of community.

Citation Download Citation

Jieling Hu, Yufei Yang, and Xianhua Dai "Seeding based on complex factors-local fitness method", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 1270312 (16 June 2023); https://doi.org/10.1117/12.2682869

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