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Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach

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16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (SOCO 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1401))

Abstract

Determining the critical nodes in a network given a certain network measure is a computational challenging problem that requires the design of adaptive and scalable algorithms. The number of connected components in a graph is an example of such a measure: in this case the nodes considered critical are those that, if removed from the network, maximize the number of connected components in the remaining graph. In this paper we approach this problem by using a new algorithm based on Extremal Optimization. Comparisons with existing algorithms conducted on synthetic and real world networks illustrate the potential of the proposed approach.

This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CNCS - UEFISCDI, project number PN-III-P1-1.1-TE-2019-1633.

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Cluj, Romania

    Noémi Gaskó, Tamás Képes & Mihai Suciu

  2. Centre for the Study of Complexity, Babeş-Bolyai University, Cluj, Romania

    Rodica Ioana Lung

Authors
  1. Noémi Gaskó
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  2. Tamás Képes
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  3. Mihai Suciu
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  4. Rodica Ioana Lung
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Corresponding author

Correspondence to Noémi Gaskó .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Hugo Sanjurjo González

  2. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Iker Pastor López

  3. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  4. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  5. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Gaskó, N., Képes, T., Suciu, M., Lung, R.I. (2022). Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. Springer, Cham. https://doi.org/10.1007/978-3-030-87869-6_48

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