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dc.contributor.authorBolte, Fabian
dc.contributor.authorNourani, Mahsan
dc.contributor.authorRagan, Eric
dc.contributor.authorBruckner, Stefan
dc.date.accessioned2020-05-04T09:10:34Z
dc.date.available2020-05-04T09:10:34Z
dc.date.issued2020
dc.PublishedBolte, Nourani, Ragan, Bruckner. SplitStreams: A Visual Metaphor for Evolving Hierarchies. IEEE Transactions on Visualization and Computer Graphics. 2020eng
dc.identifier.issn1941-0506en_US
dc.identifier.issn1077-2626en_US
dc.identifier.urihttps://hdl.handle.net/1956/22073
dc.description.abstractThe visualization of hierarchically structured data over time is an ongoing challenge and several approaches exist trying to solve it. Techniques such as animated or juxtaposed tree visualizations are not capable of providing a good overview of the time series and lack expressiveness in conveying changes over time. Nested streamgraphs provide a better understanding of the data evolution, but lack the clear outline of hierarchical structures at a given timestep. Furthermore, these approaches are often limited to static hierarchies or exclude complex hierarchical changes in the data, limiting their use cases. We propose a novel visual metaphor capable of providing a static overview of all hierarchical changes over time, as well as clearly outlining the hierarchical structure at each individual time step. Our method allows for smooth transitions between tree maps and nested streamgraphs, enabling the exploration of the trade-off between dynamic behavior and hierarchical structure. As our technique handles topological changes of all types, it is suitable for a wide range of applications. We demonstrate the utility of our method on several use cases, evaluate it with a user study, and provide its full source code.en_US
dc.language.isoengeng
dc.publisherIEEEen_US
dc.rights.uriCopyright 2020 IEEE. All rights reservedeng
dc.titleSplitStreams: A Visual Metaphor for Evolving Hierarchiesen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-02-11T15:13:43Z
dc.description.versionacceptedVersionen_US
dc.identifier.doihttps://doi.org/10.1109/tvcg.2020.2973564
dc.identifier.cristin1793166
dc.source.journalIEEE Transactions on Visualization and Computer Graphics


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