Comparing Two Local Methods for Community Detection in Social Networks

0386764 20240103201912.820130122235959.9 000314803000027 10.1109/CASoN.2012.6412395 Comparing Two Local Methods for Community Detection in Social Networks 6 s. P cav_un_epca*0382265978-1-4673-4793-8Proceedings of the 2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)1-6PiscatawayIEEE2012 social networks community detection DBLP cav_un_auth*0287541 Zehnalova S. CZ cav_un_auth*0287263 Kudělka Miloš Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0068958 Kudělka M. CZ cav_un_auth*0207265 Snášel V. CZ http://library.utia.cas.cz/separaty/2013/RO/kudelka-comparing two local methods for community detection in social networks.pdf ED1.1.00/02.0070 GA MŠk CZ cav_un_auth*0285288 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. cav_un_auth*0284697 CASoN 2012. International Conference on Computational Aspects of Social Networks /4./ Sao Carlos 21.11.2012-23.11.2012 BR 2013 BD 4 PR RVO:67985556 http://hdl.handle.net/11104/0217175 2012 000314803000027 WOS 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