Towards a Survey on Static and Dynamic Hypergraph Visualizations

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FISCHER, Maximilian T., Alexander FRINGS, Daniel A. KEIM, Daniel SEEBACHER, 2021. Towards a Survey on Static and Dynamic Hypergraph Visualizations. IEEE Visualization Conference (VIS). New Orleans, LA, USA, Oct 24, 2021 - Oct 29, 2021. In: 2021 IEEE Visualization Conference (VIS). Piscataway, NJ:IEEE, pp. 81-85. ISBN 978-1-66543-335-8. Available under: doi: 10.1109/VIS49827.2021.9623305

@inproceedings{Fischer2021Towar-54481.3, title={Towards a Survey on Static and Dynamic Hypergraph Visualizations}, year={2021}, doi={10.1109/VIS49827.2021.9623305}, isbn={978-1-66543-335-8}, address={Piscataway, NJ}, publisher={IEEE}, booktitle={2021 IEEE Visualization Conference (VIS)}, pages={81--85}, author={Fischer, Maximilian T. and Frings, Alexander and Keim, Daniel A. and Seebacher, Daniel} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Seebacher, Daniel</dc:contributor> <dc:creator>Frings, Alexander</dc:creator> <dcterms:available rdf:datatype="">2021-12-07T14:03:36Z</dcterms:available> <dcterms:isPartOf rdf:resource=""/> <dc:contributor>Fischer, Maximilian T.</dc:contributor> <dspace:hasBitstream rdf:resource=""/> <dspace:isPartOfCollection rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:rights rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <bibo:uri rdf:resource=""/> <dc:contributor>Frings, Alexander</dc:contributor> <dc:date rdf:datatype="">2021-12-07T14:03:36Z</dc:date> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:language>eng</dc:language> <dc:creator>Fischer, Maximilian T.</dc:creator> <dc:rights>terms-of-use</dc:rights> <dcterms:issued>2021</dcterms:issued> <dc:creator>Seebacher, Daniel</dc:creator> <dcterms:abstract xml:lang="eng">Leveraging hypergraph structures to model advanced processes has gained much attention over the last few years in many areas, ranging from protein-interaction in computational biology to image retrieval using machine learning. Hypergraph models can provide a more accurate representation of the underlying processes while reducing the overall number of links compared to regular representations. However, interactive visualization methods for hypergraphs and hypergraph-based models have rarely been explored or systematically analyzed. This paper reviews the existing research landscape for hypergraph and hypergraph model visualizations and assesses the currently employed techniques. We provide an overview and a categorization of proposed approaches, focusing on performance, scalability, interaction support, successful evaluation, and the ability to represent different underlying data structures, including a recent demand for a temporal representation of interaction networks and their improvements beyond graph-based methods. Lastly, we discuss the strengths and weaknesses of the approaches and give an insight into the future challenges arising in this emerging research field.</dcterms:abstract> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:hasPart rdf:resource=""/> <dcterms:title>Towards a Survey on Static and Dynamic Hypergraph Visualizations</dcterms:title> </rdf:Description> </rdf:RDF>

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