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Type: Artigo
Title: Graph visual rhythms in temporal network analyses
Author: Uchoa Maia Rodrigues, Daniele C.
Moura, Felipe A.
Cunha, Sergio Augusto
Torres, Ricardo da S.
Abstract: Graphs 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 time
Subject: Ritmo visual
Country: Países Baixos
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.gmod.2019.101021
Date Issue: 2019
Appears in Collections:FEF - Artigos e Outros Documentos
IC - Artigos e Outros Documentos

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