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Description
  • This chapter focuses on searching of latent social networks in eLarning systems data. This data consists of students activity records where latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity.
  • This chapter focuses on searching of latent social networks in eLarning systems data. This data consists of students activity records where latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity. (en)
Title
  • Analysis and Visualization of Relations in eLearning
  • Analysis and Visualization of Relations in eLearning (en)
skos:prefLabel
  • Analysis and Visualization of Relations in eLearning
  • Analysis and Visualization of Relations in eLearning (en)
skos:notation
  • RIV/61989100:27240/10:86076517!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, 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
  • 246337
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/10:86076517
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • elearning, social network, clustering, network visualization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E0DC239786B1]
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...vEdiceCisloSvazku
  • Computer Communications and Networks
http://linked.open...i/riv/nazevZdroje
  • Computational Social Network Analysis: Trends, Tools and Research Advances
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Dráždilová, Pavla
  • Martinovič, Jan
  • Snášel, Václav
  • Obadi, Gamila Ahmed
  • Slaniová, Kateřina
number of pages
http://purl.org/ne...btex#hasPublisher
  • SPRINGER
https://schema.org/isbn
  • 978-1-84882-228-3
http://localhost/t...ganizacniJednotka
  • 27240
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