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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Graph visual rhythms in temporal network analyses

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Author(s):
Uchoa Maia Rodrigues, Daniele C. [1, 2] ; Moura, Felipe A. [3] ; Cunha, Sergio Augusto [4] ; Torres, Ricardo da S. [1]
Total Authors: 4
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, Campinas, SP - Brazil
[2] Pontifical Catholic Univ Campinas, Coll Comp Engn, Campinas, SP - Brazil
[3] Univ Estadual Londrina, Lab Appl Biomech, Londrina - Brazil
[4] Univ Estadual Campinas, Coll Phys Educ, Campinas, SP - Brazil
Total Affiliations: 4
Document type: Journal article
Source: GRAPHICAL MODELS; v. 103, MAY 2019.
Web of Science Citations: 0
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. (AU)

FAPESP's process: 14/50715-9 - Characterizing and predicting biomass production in sugarcane and eucalyptus plantations in Brazil
Grantee:Rubens Augusto Camargo Lamparelli
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 16/50250-1 - The secret of playing football: Brazil versus the Netherlands
Grantee:Sergio Augusto Cunha
Support type: Research Projects - Thematic Grants
FAPESP's process: 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes
Grantee:Ricardo da Silva Torres
Support type: Research Grants - Research Partnership for Technological Innovation - PITE
FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
Grantee:Alexandre Xavier Falcão
Support type: Research Projects - Thematic Grants
FAPESP's process: 18/19007-9 - Find dribbling time series in a physical-tactical-technical scenario during official professional matches
Grantee:Sergio Augusto Cunha
Support type: Scholarships abroad - Research
FAPESP's process: 17/20945-0 - Multi-user equipment approved in great 16/50250-1: local positioning system
Grantee:Sergio Augusto Cunha
Support type: Multi-user Equipment Program
FAPESP's process: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
Grantee:Leonor Patricia Cerdeira Morellato
Support type: Research Program on Global Climate Change - University-Industry Cooperative Research (PITE)
FAPESP's process: 15/24494-8 - Communications and processing of big data in cloud and fog computing
Grantee:Nelson Luis Saldanha da Fonseca
Support type: Research Projects - Thematic Grants