Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/70198
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dc.creatorJosé Luís Devezas
dc.creatorCristina Ribeiro
dc.creatorSérgio Nunes
dc.date.accessioned2019-02-04T06:47:32Z-
dc.date.available2019-02-04T06:47:32Z-
dc.date.issued2010
dc.identifier.othersigarra:61360
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/70198-
dc.description.abstractThe study of the blogosphere can provide sociologically relevant data. We analyze the links between blogs in the portuguese blogosphere, in order to understand how they group and interact, to identify clusters and to characterize them. Our data set contains post data for more than 70,000 blogs, with over 400,000 links. The linkage data is represented as a blog graph and partitioned into several slices, according to their in-degree. We then study the evolution of blog features, and observe a consistent pattern of decrease in posting frequency, number of out-links, and post length, as we move from the highly-cited blogs to the less cited ones. Copyright 2010 ACM.
dc.language.isoeng
dc.relation.ispartofSOMA 2010 - Proceedings of the 1st Workshop on Social Media Analytics
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectEngenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electronic engineering, Information engineering
dc.titleStudying blog features over link popularity
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1145/1964858.1964863
dc.identifier.authenticusP-007-YCJ
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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