Left-Right Oscillate Algorithm for Community Detection used in E-learning system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084903" target="_blank" >RIV/61989100:27240/12:86084903 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/12:86084903
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Left-Right Oscillate Algorithm for Community Detection used in E-learning system
Original language description
Learning management systems are widely used as a support of distance learning. Recently, these systems successfully help in present education as well. Learning management systems store large amount of data based on the history of users' interactions with the system. Obtained information is commonly used for further course optimization, finding e-tutors in collaboration learning, analysis of students' behavior, or for other purposes. The partial goal of the paper is an analysis of students' behavior in a learning management system. Students' behavior is defined using selected methods from sequential and process mining with the focus to the reduction of large amount of extracted sequences. The main goal of the paper is description of our Left-Right Oscillate algorithm for community detection. The usage of this algorithm is presented on the extracted sequences from the learning management system. The core of this work is based on spectral ordering. Spectral ordering is the first part of an algorithm used to seek out communities within selected, evaluated networks. More precise designations for communities are then monitored using modularity.
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
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science. Volume 7564
ISBN
978-3-642-33259-3
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
278-289
Publisher name
Springer
Place of publication
Berlin
Event location
Benátky
Event date
Sep 26, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000338114500024