Comparing Two Local Methods for Community Detection in Social Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86085080" target="_blank" >RIV/61989100:27240/12:86085080 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/12:00386764 RIV/61989100:27740/12:86085080
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Comparing Two Local Methods for Community Detection in Social Networks
Original language description
One of the most obvious features of social networks is their community structure. Several types of methods were developed for discovering communities in the networks, either from the global perspective or based on local information only. Local methods are appropriate when working with large and dynamic networks or when real-time results are expected. In this paper we explore two such methods and compare the results obtained on the sample of a co-authorship network. We study how much may detected communities vary according to the method used for computation.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012 : 21 ? 23 November 2012, S?o Carlos, Brazil
ISBN
978-1-4673-4793-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
155-160
Publisher name
IEEE
Place of publication
New York
Event location
Sao Carlos
Event date
Nov 21, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000314803000027

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