The State of the Art in Visualizing Dynamic Multivariate Networks

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dc.contributor.authorKale, Bharaten_US
dc.contributor.authorSun, Maoyuanen_US
dc.contributor.authorPapka, Michael E.en_US
dc.contributor.editorBruckner, Stefanen_US
dc.contributor.editorRaidou, Renata G.en_US
dc.contributor.editorTurkay, Cagatayen_US
dc.date.accessioned2023-06-10T06:28:21Z
dc.date.available2023-06-10T06:28:21Z
dc.date.issued2023
dc.description.abstractMost real-world networks are both dynamic and multivariate in nature, meaning that the network is associated with various attributes and both the network structure and attributes evolve over time. Visualizing dynamic multivariate networks is of great significance to the visualization community because of their wide applications across multiple domains. However, it remains challenging because the techniques should focus on representing the network structure, attributes and their evolution concurrently. Many real-world network analysis tasks require the concurrent usage of the three aspects of the dynamic multivariate networks. In this paper, we analyze current techniques and present a taxonomy to classify the existing visualization techniques based on three aspects: temporal encoding, topology encoding, and attribute encoding. Finally, we survey application areas and evaluation methods; and discuss challenges for future research.en_US
dc.description.documenttypestar
dc.description.number3
dc.description.sectionheadersNetworks
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14856
dc.identifier.issn1467-8659
dc.identifier.pages471-490
dc.identifier.pages20 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14856
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14856
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Graph drawings
dc.subjectHuman centered computing
dc.subjectGraph drawings
dc.titleThe State of the Art in Visualizing Dynamic Multivariate Networksen_US
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