The State of the Art in Multilayer Network Visualization

dc.contributor.authorMcGee, F.en_US
dc.contributor.authorGhoniem, M.en_US
dc.contributor.authorMelançon, G.en_US
dc.contributor.authorOtjacques, B.en_US
dc.contributor.authorPinaud, B.en_US
dc.contributor.editorChen, Min and Benes, Bedrichen_US
dc.date.accessioned2019-09-27T14:11:22Z
dc.date.available2019-09-27T14:11:22Z
dc.date.issued2019
dc.description.abstractModelling relationship between entities in real‐world systems with a simple graph is a standard approach. However, reality is better embraced as several interdependent subsystems (or layers). Recently, the concept of a multilayer network model has emerged from the field of complex systems. This model can be applied to a wide range of real‐world data sets. Examples of multilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domain of 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 for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those developing systems across application domains. We have explored the visualization literature to survey visualization techniques suitable for multilayer graph visualization, as well as tools, tasks and analytic techniques from within application domains. This report also identifies the outstanding challenges for multilayer graph visualization and suggests future research directions for addressing them.Modelling relationship between entities in real‐world systems with a simple graph is a standard approach. However, reality is better embraced as several interdependent subsystems (or layers). Recently, the concept of a multilayer network model has emerged from the field of complex systems. This model can be applied to a wide range of real‐world data sets. Examples of multilayer networks can be found in the domains of life sciences, sociology, digital humanities and more. Within the domain of 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 for researchers in visualization, but also for those who aim to visualize multilayer networks in the domain of complex systems, as well as those developing systems across application domains.en_US
dc.description.documenttypestar
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13610
dc.identifier.issn1467-8659
dc.identifier.pages125-149
dc.identifier.urihttps://doi.org/10.1111/cgf.13610
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13610
dc.publisher© 2019 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectmultilayer networks
dc.subjectnetwork visualization
dc.subjectliterature survey
dc.subject• Human‐centered computing → Graph drawings; Information visualization; Visualization systems and tools
dc.titleThe State of the Art in Multilayer Network Visualizationen_US
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