Streaming networks sampling using top-K networks

dc.contributor.author Rui Portocarrero Sarmento en
dc.contributor.author Mário Miguel Cordeiro en
dc.contributor.author João Gama en
dc.date.accessioned 2017-11-23T11:32:17Z
dc.date.available 2017-11-23T11:32:17Z
dc.date.issued 2015 en
dc.description.abstract The combination of top-K network representation of the data stream with community detection is a novel approach to streaming networks sampling. Keeping an always up-to-date sample of the full network, the advantage of this method, compared to previous, is that it preserves larger communities and original network distribution. Empirically, it will also be shown that these techniques, in conjunction with community detection, provide effective ways to perform sampling and analysis of large scale streaming networks with power law distributions. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3788
dc.identifier.uri http://dx.doi.org/10.5220/0005341402280234 en
dc.language eng en
dc.relation 5120 en
dc.relation 5880 en
dc.relation 4223 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Streaming networks sampling using top-K networks en
dc.type conferenceObject en
dc.type Publication en
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