Local community detection and visualization: Experiment based on student data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86089187" target="_blank" >RIV/61989100:27240/12:86089187 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-31603-6_25" target="_blank" >http://dx.doi.org/10.1007/978-3-642-31603-6_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-31603-6_25" target="_blank" >10.1007/978-3-642-31603-6_25</a>
Alternative languages
Result language
angličtina
Original language name
Local community detection and visualization: Experiment based on student data
Original language description
This paper is focused on the detection of communities in social networks. We propose and describe a novel method for detecting local communities. We have used this method in an experiment on student social networks in order to prove our hypothesis aboutthe nature of student communities. The results of the experiment rationalized our hypothesis and confirmed the effectiveness of the described method of local community detection.
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
—
Continuities
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
Advances in Intelligent Systems and Computing. Volume 179
ISBN
978-3-642-31602-9
ISSN
2194-5357
e-ISSN
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Number of pages
13
Pages from-to
291-303
Publisher name
Springer
Place of publication
Heidelberg
Event location
Praha
Event date
Aug 29, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312116400025