Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/338814
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampRodrigues, Daniele Cristina Uchôa Maia-
dc.contributor.authorunicampCunha, Sergio Augusto-
dc.contributor.authorunicampTorres, Ricardo da Silva-
dc.typeArtigopt_BR
dc.titleGraph visual rhythms in temporal network analysespt_BR
dc.contributor.authorUchoa Maia Rodrigues, Daniele C.-
dc.contributor.authorMoura, Felipe A.-
dc.contributor.authorCunha, Sergio Augusto-
dc.contributor.authorTorres, Ricardo da S.-
dc.subjectRitmo visualpt_BR
dc.subject.otherlanguageVisual rhythmpt_BR
dc.description.abstractGraphs are widely used to conceptually represent objects and their relations in several applications. Time-evolving graphs, usually referred to as temporal or dynamic graphs, have been used to encode how objects and their relations change over time. In this paper, we introduce a new image-based representation, named Graph Visual Rhythm (GVR), proposed to encode visually temporal network changes. GVR provides a compact and context-enriched representation for general-purpose analyses. Our solution is generic, as it supports different graph-to-image mapping instantiations, possibly opening the opportunity of its use in different applications. In this paper, we use different instantiations of graph visual rhythms in two case studies: first, in soccer match analysis, aiming to support the identification of complex tactical patterns, modeled as temporal graphs; second, in social network analysis, to support the identification of patterns related to message exchanges over timept_BR
dc.relation.ispartofGraphical modelspt_BR
dc.relation.ispartofabbreviationGraph. modelspt_BR
dc.publisher.cityAmsterdampt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherElsevierpt_BR
dc.date.issued2019-
dc.date.monthofcirculationMaypt_BR
dc.language.isoengpt_BR
dc.description.volume103pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1524-0703pt_BR
dc.identifier.eissn1524-0711pt_BR
dc.identifier.doi10.1016/j.gmod.2019.101021pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1524070319300128pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsordocumentnumber307560/2016-3pt_BR
dc.description.sponsordocumentnumber88881.145912/2017-01pt_BR
dc.description.sponsordocumentnumber2014/12236-1; 2015/24494-8; 2016/50250-1; 2017/20945-0; 2018/19007-9; 2013/50155-0; 2013/50169-1; 2014/50715-9pt_BR
dc.date.available2020-04-08T19:40:35Z-
dc.date.accessioned2020-04-08T19:40:35Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-04-08T19:40:35Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-07-30T19:33:28Z : No. of bitstreams: 1 000477696200001.pdf: 7971463 bytes, checksum: b8c496e47426c01e335f8c11078ca9b0 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-04-08T19:40:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/338814-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Ciências do Esportept_BR
dc.contributor.departmentDepartamento de Sistemas de Informaçãopt_BR
dc.contributor.unidadeInstituto de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Educação Físicapt_BR
dc.subject.keywordTemporal graphpt_BR
dc.subject.keywordComplex networkpt_BR
dc.subject.keywordSoccer analysispt_BR
dc.subject.keywordSocial network analysispt_BR
dc.identifier.source000477696200001pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcid0000-0003-1927-0142pt_BR
dc.creator.orcid0000-0001-9772-263Xpt_BR
dc.type.formArtigopt_BR
dc.identifier.articleid101021pt_BR
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