Show simple item record

dc.contributor.authorMussumeci, Elisa
dc.contributor.authorCoelho, Flávio Codeço
dc.date.accessioned2017-12-14T17:09:08Z
dc.date.available2017-12-14T17:09:08Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10438/19389
dc.description.abstractNews spread can be seen as a contagious process in internet media outlets. This process can be transformed into a temporal network which represents the influence between published articles and between media outlets. In this article, we propose a methodology based on the application of natural language analysis of the articles to reconstruct the latent network through which news spread. From the reconstructed network, we analyze the network dynamic and then show that the dynamics of the news spread can be approximated by a classical SIR epidemiological dynamic upon the network. From the results obtained we argue that the methodology proposed can be used to make predictions about media repercussion, and also to detect viral news in news streams.eng
dc.language.isoeng
dc.subjectSIReng
dc.subjectEpidemicseng
dc.subjectTemporal networkseng
dc.subjectNewseng
dc.titleReconstructing news spread networks and studying its dynamicseng
dc.typePapereng
dc.subject.areaMatemáticapor
dc.contributor.unidadefgvEscolas::EMAppor
dc.contributor.unidadefgvDemais unidades::RPCApor
dc.subject.bibliodataDinâmica de redespor
dc.subject.bibliodataInternetpor


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record