Social network analysis

LOZOVANU, Mihaela; CIORBA, Dumitru

dc.contributor.author	LOZOVANU, Mihaela
dc.contributor.author	CIORBA, Dumitru
dc.date.accessioned	2019-07-05T06:27:24Z
dc.date.available	2019-07-05T06:27:24Z
dc.date.issued	2012
dc.identifier.citation	LOZOVANU, Mihaela, CIORBA, Dumitru. Social network analysis. In: Conferința Tehnico-Științifică a Colaboratorilor, Doctoranzilor și Studenților, Universitatea Tehnică a Moldovei, 8 – 10 decembrie, 2011. Chișinău, 2012, vol. 1, pp. 111-114. ISBN 978-9975-45-208-3 (Vol.1).	en_US
dc.identifier.isbn	978-9975-45-208-3
dc.identifier.uri	http://repository.utm.md/handle/5014/3202
dc.description.abstract	Nowadays dealing with social network analysis becomes more and more attractive. It is especially true for the field of agent-based modeling, in which represented actors are connected with other, with which they communicate. First, the paper introduces the definition of a social network and social network analysis and its tendencies. Then it introduces the JUNG(Java Universal Network) Framework,which is an open-source library that provides a common and extendible language for manipulation, analysis and visualization of social network data that can be represented as a graph.	en_US
dc.language.iso	en	en_US
dc.publisher	Tehnica UTM	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	social networks	en_US
dc.subject	networks	en_US
dc.subject	graphs	en_US
dc.subject	clusters	en_US
dc.subject	ranking algorithm	en_US
dc.title	Social network analysis	en_US
dc.type	Article	en_US