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dc.contributor.authorPham, Vungen_US
dc.contributor.authorNguyen, V. T. Nganen_US
dc.contributor.authorDang, Tommyen_US
dc.contributor.editorTurkay, Cagatay and Vrotsou, Katerinaen_US
dc.date.accessioned2020-05-24T13:31:29Z
dc.date.available2020-05-24T13:31:29Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-116-8
dc.identifier.issn2664-4487
dc.identifier.urihttps://doi.org/10.2312/eurova.20201082
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20201082
dc.description.abstractThe force-directed layout is a popular visual method for revealing network structures, such as clusters and important vertices. However, it is not capable of representing temporal patterns, such as how clusters/communities evolve. Dynamic network visualizations trade the overall structures for temporal relationships. In this paper, we present a dual view framework for capturing both overall structures and temporal patterns within networks. The linked supplemental views utilize the strengths of both visualization techniques to provide useful insights into the given networks. To demonstrate the usefulness of our proposed dual views, we provide three use cases of dynamic networks: computer networks communications, activities of suspicious processes in computer systems, and social networks.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.titleDualNetView: Dual Views for Visualizing the Dynamics of Networksen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheadersVisual Analytics Methods and Applications
dc.identifier.doi10.2312/eurova.20201082
dc.identifier.pages25-29


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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