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An ACO inspired weighting approach for the spectral partitioning of co-authorship networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084955" target="_blank" >RIV/61989100:27240/12:86084955 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/12:86084955

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CEC.2012.6252863" target="_blank" >http://dx.doi.org/10.1109/CEC.2012.6252863</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CEC.2012.6252863" target="_blank" >10.1109/CEC.2012.6252863</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An ACO inspired weighting approach for the spectral partitioning of co-authorship networks

  • Original language description

    Spectral partitioning is a well known method in the area of graph and matrix analysis. Several approaches based on spectral partitioning and spectral clustering were used to detect structures in real world networks and databases. In this paper, we use the spectral partitioning to detect communities in a co-authorship network. The partitioning depends heavily on the weighting of the underlying network. We use an intuitive weighting scheme based on the ant colony optimization and show the communities found by spectral partitioning when using the ACO inspired weighting and when using trivial weighting based on the number of interactions between the authors.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2012 IEEE Congress on Evolutionary Computation (CEC), 2012

  • ISBN

    978-1-4673-1509-8

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1-7

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Brisbane

  • Event date

    Jun 10, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000312859300008