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Scientific Convergence and Divergence in Visualization and Visual Analytics

dc.contributor.authorHe, Jiangenen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.contributor.editorSchmidt, Johannaen_US
dc.date.accessioned2022-06-02T15:29:01Z
dc.date.available2022-06-02T15:29:01Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-185-4
dc.identifier.urihttps://doi.org/10.2312/evp.20221105
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20221105
dc.description.abstractWe present preliminary results of a visualization tool designed to visualize scientific evolution by using scientific publication data, especially convergence-divergence processes. It aims to increase the efficiency and accuracy of our understanding of scientific knowledge in a certain field with limited domain knowledge. We visualized 2,435 papers published in IEEE VIS and EuroVis to demonstrate the tool and provide a big picture of the scientific evolution in the visualization community.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing --> Visual analytics; Visualization toolkits
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectVisualization toolkits
dc.titleScientific Convergence and Divergence in Visualization and Visual Analyticsen_US
dc.description.seriesinformationEuroVis 2022 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/evp.20221105
dc.identifier.pages1-3
dc.identifier.pages3 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License