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Social network analysis

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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


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