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Robust network community detection using balanced propagation

Author

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  • L. Šubelj
  • M. Bajec

Abstract

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Suggested Citation

  • L. Šubelj & M. Bajec, 2011. "Robust network community detection using balanced propagation," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 81(3), pages 353-362, June.
  • Handle: RePEc:spr:eurphb:v:81:y:2011:i:3:p:353-362
    DOI: 10.1140/epjb/e2011-10979-2
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    Citations

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    Cited by:

    1. Lou, Hao & Li, Shenghong & Zhao, Yuxin, 2013. "Detecting community structure using label propagation with weighted coherent neighborhood propinquity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(14), pages 3095-3105.
    2. Wu, Tao & Chen, Leiting & Zhong, Linfeng & Xian, Xingping, 2017. "Enhanced collective influence: A paradigm to optimize network disruption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 43-52.
    3. Zhou, Andu & Maletić, Slobodan & Zhao, Yi, 2018. "Robustness and percolation of holes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 459-468.
    4. Xue Jiang & Han Zhang & Xiongwen Quan & Zhandong Liu & Yanbin Yin, 2017. "Disease-related gene module detection based on a multi-label propagation clustering algorithm," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-17, May.
    5. Blagus, Neli & Šubelj, Lovro & Bajec, Marko, 2012. "Self-similar scaling of density in complex real-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2794-2802.
    6. Fang, Wenyi & Wang, Xin & Liu, Longzhao & Wu, Zhaole & Tang, Shaoting & Zheng, Zhiming, 2022. "Community detection through vector-label propagation algorithms," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    7. Chen, Xiaolong & Gong, Kai & Wang, Ruijie & Cai, Shimin & Wang, Wei, 2020. "Effects of heterogeneous self-protection awareness on resource-epidemic coevolution dynamics," Applied Mathematics and Computation, Elsevier, vol. 385(C).
    8. Aleja, David & Criado, Regino & García del Amo, Alejandro J. & Pérez, Ángel & Romance, Miguel, 2019. "Non-backtracking PageRank: From the classic model to hashimoto matrices," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 283-291.
    9. Ming-Yang Zhou & Hao Liao & Wen-Man Xiong & Xiang-Yang Wu & Zong-Wen Wei, 2017. "Connecting Patterns Inspire Link Prediction in Complex Networks," Complexity, Hindawi, vol. 2017, pages 1-12, December.
    10. Saucan, Emil & Sreejith, R.P. & Vivek-Ananth, R.P. & Jost, Jürgen & Samal, Areejit, 2019. "Discrete Ricci curvatures for directed networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 347-360.
    11. Garza, Sara E. & Schaeffer, Satu Elisa, 2019. "Community detection with the Label Propagation Algorithm: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    12. Lovro Šubelj & Nees Jan van Eck & Ludo Waltman, 2016. "Clustering Scientific Publications Based on Citation Relations: A Systematic Comparison of Different Methods," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-23, April.
    13. Hosseini-Pozveh, Maryam & Ghorbanian, Maedeh & Tabaiyan, Maryam, 2022. "A label propagation-based method for community detection in directed signed social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    14. Zareie, Ahmad & Sheikhahmadi, Amir, 2019. "EHC: Extended H-index Centrality measure for identification of users’ spreading influence in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 141-155.
    15. Massimiliano Turchetto & Michele Bellingeri & Roberto Alfieri & Ngoc-Kim-Khanh Nguyen & Quang Nguyen & Davide Cassi, 2023. "Random Walks-Based Node Centralities to Attack Complex Networks," Mathematics, MDPI, vol. 11(23), pages 1-20, November.
    16. Sreejith, R.P. & Jost, Jürgen & Saucan, Emil & Samal, Areejit, 2017. "Systematic evaluation of a new combinatorial curvature for complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 101(C), pages 50-67.
    17. Roy, Indrava & Vijayaraghavan, Sudharsan & Ramaia, Sarath Jyotsna & Samal, Areejit, 2020. "Forman-Ricci curvature and persistent homology of unweighted complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    18. Si, Cuiqi & Jiao, Licheng & Wu, Jianshe & Zhao, Jin, 2017. "A group evolving-based framework with perturbations for link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 117-128.
    19. Blagus, Neli & Šubelj, Lovro & Bajec, Marko, 2014. "Assessing the effectiveness of real-world network simplification," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 134-146.
    20. Zareie, Ahmad & Sheikhahmadi, Amir & Fatemi, Adel, 2017. "Influential nodes ranking in complex networks: An entropy-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 485-494.
    21. Šubelj, Lovro & Bajec, Marko, 2014. "Group detection in complex networks: An algorithm and comparison of the state of the art," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 397(C), pages 144-156.
    22. Natarajan Meghanathan, 2019. "Unit Disk Graph-Based Node Similarity Index for Complex Network Analysis," Complexity, Hindawi, vol. 2019, pages 1-22, March.

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