About: Spectral Clustering: Left-Right-Oscillate Algorithm for Detecting Communities

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007/978-3-642-32518-2_27
Description	Detection of communities in the complex networks is an actual problem solved in research area. The paper describes a new algorithm for this purpose. Left-Right-Oscillate algorithm (LRO) is based on spectral ordering of graph vertices. This approach allows us to detect a desired community - either by the size of the smallest communities or by the level of modularity. Since the LRO algorithm detects efficiently communities in large network even when these are not sharply partitioned, it turns to be specially suitable for the analysis of social, complex or coauthor networks. In this paper, proposed algorithm is used for finding communities in a large coauthor network - DBLP. Detection of communities in the complex networks is an actual problem solved in research area. The paper describes a new algorithm for this purpose. Left-Right-Oscillate algorithm (LRO) is based on spectral ordering of graph vertices. This approach allows us to detect a desired community - either by the size of the smallest communities or by the level of modularity. Since the LRO algorithm detects efficiently communities in large network even when these are not sharply partitioned, it turns to be specially suitable for the analysis of social, complex or coauthor networks. In this paper, proposed algorithm is used for finding communities in a large coauthor network - DBLP. (en)
Title	Spectral Clustering: Left-Right-Oscillate Algorithm for Detecting Communities Spectral Clustering: Left-Right-Oscillate Algorithm for Detecting Communities (en)
skos:prefLabel	Spectral Clustering: Left-Right-Oscillate Algorithm for Detecting Communities Spectral Clustering: Left-Right-Oscillate Algorithm for Detecting Communities (en)
skos:notation	RIV/61989100:27240/13:86089078!RIV14-MSM-27240___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a informatiky
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Dráždilová, Pavla Slaninová, Kateřina Martinovič, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	106980
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/13:86089078
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Eigenvectors; Networks (en)
http://linked.open.../riv/klicoveSlovo	Networks Eigenvectors
http://linked.open...ontrolniKodProRIV	[2F4D5BE99DC9]
http://linked.open...v/mistoKonaniAkce	Poznaň
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Advances in Intelligent Systems and Computing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Dráždilová, Pavla Martinovič, Jan Slaninová, Kateřina
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open...ain/vavai/riv/wos	000312972300027
http://linked.open.../riv/zahajeniAkce	2012-09-17 (xsd:date)
issn	2194-5357
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-32517-5
http://localhost/t...ganizacniJednotka	27240

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