Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86077715" target="_blank" >RIV/61989100:27240/10:86077715 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Spectral Clustering for Finding Student's Patterns of Behavior in Social Networks
Original language description
The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon, a number of methods and techniques were developed. Spectral clustering is a data mining method used in many applications; in this paper we used this method to find students? behavioral patterns performed in an elearning system. In addition, a software was introduced to allow the user (tutor or researcher) to define the data dimensionsand input values to obtain ppropriate graphs with behavioral pattens that meet his/her needs. Behavioral patterns were compared with students? study performance and evaluation with relation to their possible usage in collaborative learning.
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
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
Article name in the collection
CEUR Workshop Proceedings. Volume 567
ISBN
978-80-7378-116-3
ISSN
1613-0073
e-ISSN
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Number of pages
13
Pages from-to
118-130
Publisher name
MATFYZPRESS
Place of publication
Praha
Event location
Stedronin-Plazy, Czech Republic
Event date
Apr 21, 2010
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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