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Description
  • One of the most obvious features of social networks is their community structure. Several types of methods were developed for discovering communities in the networks, either from the global perspective or based on local information only. Local methods are appropriate when working with large and dynamic networks or when real-time results are expected. In this paper we explore two such methods and compare the results obtained on the sample of a co-authorship network.We study how much may detected communities vary according to the method used for computation.
  • One of the most obvious features of social networks is their community structure. Several types of methods were developed for discovering communities in the networks, either from the global perspective or based on local information only. Local methods are appropriate when working with large and dynamic networks or when real-time results are expected. In this paper we explore two such methods and compare the results obtained on the sample of a co-authorship network.We study how much may detected communities vary according to the method used for computation. (en)
Title
  • Comparing Two Local Methods for Community Detection in Social Networks
  • Comparing Two Local Methods for Community Detection in Social Networks (en)
skos:prefLabel
  • Comparing Two Local Methods for Community Detection in Social Networks
  • Comparing Two Local Methods for Community Detection in Social Networks (en)
skos:notation
  • RIV/67985556:_____/12:00386764!RIV13-AV0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(ED1.1.00/02.0070), P(EE.2.3.20.0072), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 127851
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/12:00386764
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • social networks; community detection; DBLP (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [08DFBB11DABA]
http://linked.open...v/mistoKonaniAkce
  • Sao Carlos
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kudělka, Miloš
  • Kudělka, M.
  • Snášel, V.
  • Zehnalova, S.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000314803000027
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4673-4793-8
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