Analysis and Visualization 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%2F10%3A86076517" target="_blank" >RIV/61989100:27240/10:86076517 - isvavai.cz</a>
Alternative codes found
RIV/47813059:19520/10:#0000462
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis and Visualization of Relations in eLearning
Original language 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.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Computational Social Network Analysis: Trends, Tools and Research Advances
ISBN
978-1-84882-228-3
Number of pages of the result
27
Pages from-to
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Number of pages of the book
485
Publisher name
SPRINGER
Place of publication
New York
UT code for WoS chapter
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