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Description
  • This paper is focused on searching for socials networks in eLearning system data. This data does not create a social network from the beginning, but contains records about student activity in an eLearning system. There are latent ties in these collections, which we also interpret as social network. We discovered these latent ties via clustering methods and, consequently, we used methods for social network analyses. The social networks we analyzed in this paper are represented by groups of students who have similar contacts and interact in similar social circles.
  • This paper is focused on searching for socials networks in eLearning system data. This data does not create a social network from the beginning, but contains records about student activity in an eLearning system. There are latent ties in these collections, which we also interpret as social network. We discovered these latent ties via clustering methods and, consequently, we used methods for social network analyses. The social networks we analyzed in this paper are represented by groups of students who have similar contacts and interact in similar social circles. (en)
Title
  • Analysis of relations in eLearning
  • Analysis of relations in eLearning (en)
skos:prefLabel
  • Analysis of relations in eLearning
  • Analysis of relations in eLearning (en)
skos:notation
  • RIV/61989100:27240/08:86084899!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6198910007)
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
  • 355876
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/08:86084899
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Social networks; Social network analysis; E-learning systems; Clustering methods (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [38DD301096ED]
http://linked.open...v/mistoKonaniAkce
  • Sydney
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dráždilová, Pavla
  • Martinovič, Jan
  • Snášel, Václav
  • Slaninová, Kateřina
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/WIIAT.2008.250
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-0-7695-3496-1
http://localhost/t...ganizacniJednotka
  • 27240
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