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Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering

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Computational Collective Intelligence (ICCCI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13501))

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Abstract

The starting point of any hierarchical clustering method is the definition of the similarity measure between objects. In case of a social network the similarity must be inferred from the adjacency relationships between vertices. The main contribution of the paper is to investigate the impact of similarity measure on the quality of clusters (communities) detected in an organizational social network by agglomerative hierarchical clustering method. Three different similarity measures have been considered in the computational experiment. The quality of communities generated by the proposed method has been compared with the quality of clusters generated by the Louvain algorithm using modularity. Because of the fact that the computational experiment has been carried out on the network referring to real public organization, the results of the experiment have been also compared with the structure of the investigated organization.

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Authors and Affiliations

  1. Department of Information Systems, Gdynia Maritime University, Morska 83, 81-225, Gdynia, Poland

    Paweł Szyman & Dariusz Barbucha

Authors
  1. Paweł Szyman
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  2. Dariusz Barbucha
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Corresponding author

Correspondence to Dariusz Barbucha .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  3. University of Pau and Pays de l'Adour, Anglet, France

    Richard Chbeir

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Szyman, P., Barbucha, D. (2022). Impact of Similarity Measure on the Quality of Communities Detected in Social Network by Hierarchical Clustering. In: Nguyen, N.T., Manolopoulos, Y., Chbeir, R., Kozierkiewicz, A., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2022. Lecture Notes in Computer Science(), vol 13501. Springer, Cham. https://doi.org/10.1007/978-3-031-16014-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-16014-1_3

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  • Print ISBN: 978-3-031-16013-4

  • Online ISBN: 978-3-031-16014-1

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