Articles producció científica> Enginyeria Química

Structural Patterns in Complex Systems Using Multidendrograms

  • Identification data

    Identifier: imarina:3660818
    Handle: http://hdl.handle.net/20.500.11797/imarina3660818
  • Authors:

    Gomez, Sergio Fernandez, Alberto Granell, Clara Arenas, Alex
  • Others:

    Author, as appears in the article.: Gomez, Sergio Fernandez, Alberto Granell, Clara Arenas, Alex
    Department: Enginyeria Informàtica i Matemàtiques Enginyeria Química
    e-ISSN: 1099-4300
    URV's Author/s: Arenas Moreno, Alejandro / Fernández Sabater, Alberto / Gómez Jiménez, Sergio
    Keywords: Uniqueness Patterns in networks Hierarchical clustering Dendrogram
    Abstract: Complex systems are usually represented as an intricate set of relations between their components forming a complex graph or network. The understanding of their functioning and emergent properties are strongly related to their structural properties. The finding of structural patterns is of utmost importance to reduce the problem of understanding the structure¿function relationships. Here we propose the analysis of similarity measures between nodes using hierarchical clustering methods. The discrete nature of the networks usually leads to a small set of different similarity values, making standard hierarchical clustering algorithms ambiguous. We propose the use of multidendrograms, an algorithm that computes agglomerative hierarchical clusterings implementing a variable-group technique that solves the non-uniqueness problem found in the standard pair-group algorithm. This problem arises when there are more than two clusters separated by the same maximum similarity (or minimum distance) during the agglomerative process. Forcing binary trees in this case means breaking ties in some way, thus giving rise to different output clusterings depending on the criterion used. Multidendrograms solves this problem by grouping more than two clusters at the same time when ties occur.
    Thematic Areas: Saúde coletiva Physics, multidisciplinary Physics and astronomy (miscellaneous) Physics and astronomy (all) Medicina ii Medicina i Mathematical physics Matemática / probabilidade e estatística Interdisciplinar Information systems Geociências General physics and astronomy Filosofía Engenharias iv Engenharias iii Electrical and electronic engineering Educação física Ciências biológicas i Ciência da computação Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 10994300
    Author's mail: alexandre.arenas@urv.cat sergio.gomez@urv.cat alberto.fernandez@urv.cat
    Author identifier: 0000-0003-0937-0334 0000-0003-1820-0062 0000-0002-1241-1646
    Last page: 5474
    Record's date: 2023-07-31
    Journal volume: 15
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/1099-4300/15/12/5464
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Entropy. 15 (12): 5464-5474
    APA: Gomez, Sergio Fernandez, Alberto Granell, Clara Arenas, Alex (2013). Structural Patterns in Complex Systems Using Multidendrograms. Entropy, 15(12), 5464-5474. DOI: 10.3390/e15125464
    Article's DOI: 10.3390/e15125464
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2013
    First page: 5464
    Publication Type: Journal Publications
  • Keywords:

    Electrical and Electronic Engineering,Information Systems,Mathematical Physics,Physics and Astronomy (Miscellaneous),Physics, Multidisciplinary
    Uniqueness
    Patterns in networks
    Hierarchical clustering
    Dendrogram
    Saúde coletiva
    Physics, multidisciplinary
    Physics and astronomy (miscellaneous)
    Physics and astronomy (all)
    Medicina ii
    Medicina i
    Mathematical physics
    Matemática / probabilidade e estatística
    Interdisciplinar
    Information systems
    Geociências
    General physics and astronomy
    Filosofía
    Engenharias iv
    Engenharias iii
    Electrical and electronic engineering
    Educação física
    Ciências biológicas i
    Ciência da computação
    Astronomia / física
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