Analysis of relations in eLearning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F08%3A86084899" target="_blank" >RIV/61989100:27240/08:86084899 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/WIIAT.2008.250" target="_blank" >http://dx.doi.org/10.1109/WIIAT.2008.250</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WIIAT.2008.250" target="_blank" >10.1109/WIIAT.2008.250</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of relations in eLearning
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
ISBN
978-0-7695-3496-1
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
373-376
Publisher name
IEEE
Place of publication
New York
Event location
Sydney
Event date
Dec 9, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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