Left-Right Oscillate Algorithm for Community Detection used in E-learning system

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27740/12:86084903

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Left-Right Oscillate Algorithm for Community Detection used in E-learning system

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Left-Right Oscillate Algorithm for Community Detection used in E-learning system

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 7564

ISBN

978-3-642-33259-3

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

12

Strana od-do

278-289

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Benátky

Datum konání akce

26. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000338114500024