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  • 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.
  • 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. (en)
Title
  • An ACO inspired weighting approach for the spectral partitioning of co-authorship networks
  • An ACO inspired weighting approach for the spectral partitioning of co-authorship networks (en)
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  • An ACO inspired weighting approach for the spectral partitioning of co-authorship networks
  • An ACO inspired weighting approach for the spectral partitioning of co-authorship networks (en)
skos:notation
  • RIV/61989100:27740/12:86084955!RIV13-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 121857
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/12:86084955
http://linked.open...riv/jazykVysledku
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  • weighting; spectral partitioning; co-authorship; ant colony optimization; algebraic connectivity; DBLP (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6DD3861C352C]
http://linked.open...v/mistoKonaniAkce
  • Brisbane
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • 2012 IEEE Congress on Evolutionary Computation (CEC), 2012
http://linked.open...in/vavai/riv/obor
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http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Horák, Zdeněk
  • Krömer, Pavel
  • Platoš, Jan
  • Snášel, Václav
  • Kudělka, Miloš
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000312859300008
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CEC.2012.6252863
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-1509-8
http://localhost/t...ganizacniJednotka
  • 27740
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