A label propagation community discovery algorithm combining seed node influence and neighborhood similarity-Reference-Cited by-同舟云学术

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A label propagation community discovery algorithm combining seed node influence and neighborhood similarity

Published:2024-01-10 Issue:4 Volume:66 Page:2625-2649
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Liu Miaomiao,Yang Jinyun,Guo Jingfeng,Chen Jing

Funder

the National Natural Science Foundation of China

Postdoctoral Scientific Research Development Fund of Heilongjiang Province

Excellent Young and Middle-aged Innovative Team Cultivation Foundation of Northeast Petroleum University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10115-023-02035-w.pdf

Reference50 articles.

1. Dey AK, Tian Y, Gel YR (2021) Community detection in complex networks: From statistical foundations to data science applications. Wiley Interdiscipl Rev Comput Stat. https://doi.org/10.1002/wics.1566

2. Zhou X, Yang K, Xie Y et al (2019) A novel modularity-based discrete state transition algorithm for community detection in networks. Neurocomputing 334:89–99. https://doi.org/10.1016/j.neucom.2019.01.009

3. Arinik N, Labatut V, Figueiredo R (2021) Characterizing and comparing external measures for the assessment of cluster analysis and community detection. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3054621

4. Tommasel A, Godoy D (2018) Multi-view community detection with heterogeneous information from social media data. Neurocomputing 289:195–219. https://doi.org/10.1016/j.neucom.2018.02.023

5. Martinet LE, Kramer MA, Viles W et al (2020) Robust dynamic community detection with applications to human brain functional networks. Nat Commun 11(1):1–13

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3. Research on Label Propagation Algorithm of Community Structure Analysis in Complex Networks;IEEE Transactions on Computational Social Systems;2024

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