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dc.contributor.authorWang, Chaolien_US
dc.contributor.authorTao, Junen_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2017-03-13T18:13:04Z
dc.date.available2017-03-13T18:13:04Z
dc.date.issued2017
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12800
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf12800
dc.description.abstractGraphs represent general node‐link diagrams and have long been utilized in scientific visualization for data organization and management. However, using graphs as a visual representation and interface for navigating and exploring scientific data sets has a much shorter history, yet the amount of work along this direction is clearly on the rise in recent years. In this paper, we take a holistic perspective and survey graph‐based representations and techniques for scientific visualization. Specifically, we classify these representations and techniques into four categories, namely partition‐wise, relationship‐wise, structure‐wise and provenance‐wise. We survey related publications in each category, explaining the roles of graphs in related work and highlighting their similarities and differences. At the end, we reexamine these related publications following the graph‐based visualization pipeline. We also point out research trends and remaining challenges in graph‐based representations and techniques for scientific visualization.Graphs represent general node‐link diagrams and have long been utilized in scientific visualization for data organization and management. However, using graphs as a visual representation and interface for navigating and exploring scientific data sets has a much shorter history, yet the amount of work along this direction is clearly on the rise in recent years. In this paper, we take a holistic perspective and survey graph‐based representations and techniques for scientific visualization.en_US
dc.publisher© 2017 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectgraphs
dc.subjectscientific visualization
dc.subjectuser interface and interaction
dc.subjectvisual analytics
dc.subjectData StructuresGraphs and networks
dc.subjectI.3.6 [Computer Graphics]: Methodology and TechniquesInteraction techniques
dc.subjectH.5.2 [Information Interface and Presentation]: User InterfacesGraphical user interface
dc.titleGraphs in Scientific Visualization: A Surveyen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume36
dc.description.number1
dc.identifier.doi10.1111/cgf.12800
dc.description.documenttypestar


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