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dc.rights.licenseopenen_US
dc.contributor.authorMCGEE, F.
dc.contributor.authorGHONIEM, M.
dc.contributor.authorOTJACQUES, B.
dc.contributor.authorPINAUD, B.
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorMELANCON, Guy
IDREF: 035315059
dc.date.accessioned2020-02-13T14:01:36Z
dc.date.available2020-02-13T14:01:36Z
dc.date.issued2019-03-28
dc.identifier.issn0167-7055en_US
dc.identifier.urioai:crossref.org:10.1111/cgf.13610
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/32
dc.description.abstractEnModelling relationship between entities in real-world systems with a simple graph is a standard approach. However, realityis better embraced as several interdependent subsystems (or layers). Recently, the concept of a multilayer network model hasemerged from the field of complex systems. This model can be applied to a wide range of real-world data sets. Examples ofmultilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domainof graph visualization, there are many systems which visualize data sets having many characteristics of multilayer graphs.This report provides a state of the art and a structured analysis of contemporary multilayer network visualization, not only forresearchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as wellas those developing systems across application domains. We have explored the visualization literature to survey visualizationtechniques suitable for multilayer graph visualization, as well as tools, tasks and analytic techniques from within applicationdomains. This report also identifies the outstanding challenges for multilayer graph visualization and suggests future researchdirections for addressing them.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.sourcecrossref
dc.titleThe State of the Art in Multilayer Network Visualization
dc.typeArticle de revueen_US
dc.identifier.doi10.1111/cgf.13610
dc.subject.halInformatique [cs]/Algorithme et structure de données [cs.DS]en_US
bordeaux.journalComputer Graphics Forumen_US
bordeaux.page125-149en_US
bordeaux.volume38en_US
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800en_US
bordeaux.issue6en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03176717
hal.version1
hal.date.transferred2021-03-22T14:54:49Z
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