Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/15141
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dc.contributor.authorMirkovic M.en
dc.contributor.authorĆulibrk, Dubravkoen
dc.contributor.authorPapadopoulos S.en
dc.contributor.authorZigkolis C.en
dc.contributor.authorKompatsiaris Y.en
dc.contributor.authorMcArdle G.en
dc.contributor.authorCrnojevic V.en
dc.date.accessioned2020-03-03T14:58:43Z-
dc.date.available2020-03-03T14:58:43Z-
dc.date.issued2011-12-26en
dc.identifier.isbn9781457711312en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/15141-
dc.description.abstractDue to the recent advances and wide adoption of Web 2.0 technologies, there is an abundance of publicly available user generated content, which can be a valuable resource for researchers, enabling them to apply sophisticated analysis methods on data of unprecedented scale. analysis methods on data of unprecedented scale. © 2011 IEEE.en
dc.relation.ispartofProceedings of the 2011 International Conference on Computational Aspects of Social Networks, CASoN'11en
dc.titleA comparative study of spatial, temporal and content-based patterns emerging in YouTube and Flickren
dc.typeConference Paperen
dc.identifier.doi10.1109/CASON.2011.6085942en
dc.identifier.scopus2-s2.0-84055193562en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84055193562en
dc.relation.lastpage194en
dc.relation.firstpage189en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFakultet tehničkih nauka, Departman za industrijsko inženjerstvo i menadžment-
crisitem.author.parentorgFakultet tehničkih nauka-
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