Towards a Survey on Static and Dynamic Hypergraph Visualizations
Towards a Survey on Static and Dynamic Hypergraph Visualizations
Loading...
Date
2021
Editors
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
DOI (citable link)
ArXiv-ID
International patent number
Link to the license
EU project number
Project
Open Access publication
Collections
Title in another language
Publication type
Contribution to a conference collection
Publication status
Published
Published in
2021 IEEE Visualization Conference (VIS). - Piscataway, NJ : IEEE, 2021. - pp. 81-85. - ISBN 978-1-66543-335-8
Abstract
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.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Hypergraphs , hypergraph model , temporal , visualization , visual analytics , survey
Conference
IEEE Visualization Conference (VIS), Oct 24, 2021 - Oct 29, 2021, New Orleans, LA, USA
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690
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/VIS49827.2021.9623305BibTex
@inproceedings{Fischer2021Towar-54481.3, year={2021}, doi={10.1109/VIS49827.2021.9623305}, title={Towards a Survey on Static and Dynamic Hypergraph Visualizations}, isbn={978-1-66543-335-8}, publisher={IEEE}, address={Piscataway, NJ}, 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:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/54481.3"> <dc:contributor>Fischer, Maximilian T.</dc:contributor> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54481.3/3/Fischer_2-gwd8dxbwtuui4.pdf"/> <dcterms:title>Towards a Survey on Static and Dynamic Hypergraph Visualizations</dcterms:title> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/54481.3"/> <dc:creator>Seebacher, Daniel</dc:creator> <dc:contributor>Frings, Alexander</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-12-07T14:03:36Z</dcterms:available> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/54481.3/3/Fischer_2-gwd8dxbwtuui4.pdf"/> <dc:rights>terms-of-use</dc:rights> <dc:language>eng</dc:language> <dc:creator>Fischer, Maximilian T.</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:contributor>Keim, Daniel A.</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Frings, Alexander</dc:creator> <dcterms:issued>2021</dcterms:issued> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-12-07T14:03:36Z</dc:date> <dc:contributor>Seebacher, Daniel</dc:contributor> </rdf:Description> </rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes