bibtype C - Conference Paper (international conference)
ARLID 0386764
utime 20240103201912.8
mtime 20130122235959.9
WOS 000314803000027
DOI 10.1109/CASoN.2012.6412395
title (primary) (eng) Comparing Two Local Methods for Community Detection in Social Networks
specification
page_count 6 s.
media_type P
serial
ARLID cav_un_epca*0382265
ISBN 978-1-4673-4793-8
title Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)
page_num 1-6
publisher
place Piscataway
name IEEE
year 2012
keyword social networks
keyword community detection
keyword DBLP
author (primary)
ARLID cav_un_auth*0287541
name1 Zehnalova
name2 S.
country CZ
author
ARLID cav_un_auth*0287263
name1 Kudělka
name2 Miloš
full_dept (cz) Rozpoznávání obrazu
full_dept Department of Pattern Recognition
department (cz) RO
department RO
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0068958
name1 Kudělka
name2 M.
country CZ
author
ARLID cav_un_auth*0207265
name1 Snášel
name2 V.
country CZ
source
url http://library.utia.cas.cz/separaty/2013/RO/kudelka-comparing two local methods for community detection in social networks.pdf
cas_special
project
project_id ED1.1.00/02.0070
agency GA MŠk
country CZ
ARLID cav_un_auth*0285288
abstract (eng) 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.
action
ARLID cav_un_auth*0284697
name CASoN 2012. International Conference on Computational Aspects of Social Networks /4./
place Sao Carlos
dates 21.11.2012-23.11.2012
country BR
reportyear 2013
RIV BD
num_of_auth 4
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0217175
arlyear 2012
mrcbU34 000314803000027 WOS
mrcbU63 cav_un_epca*0382265 Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN) 978-1-4673-4793-8 1 6 Piscataway IEEE 2012