Graph Exploration by Multiple Linked Metric Views

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PANAGIOTIDIS, Alexandros, Michael BURCH, Oliver DEUSSEN, Daniel WEISKOPF, Thomas ERTL, 2014. Graph Exploration by Multiple Linked Metric Views. 18th International Conference on Information Visualisation (IV), 16-18 July 2014. Paris, Jul 16, 2014 - Jul 18, 2014. In: EBAD BANISSI ..., , ed.. Proceedings : 18th International Conference on Information Visualisation (IV), 16-18 July 2014. Piscataway:IEEE, pp. 19-26. ISBN 978-1-4799-4103-2. Available under: doi: 10.1109/IV.2014.51

@inproceedings{Panagiotidis2014Graph-29997, title={Graph Exploration by Multiple Linked Metric Views}, year={2014}, doi={10.1109/IV.2014.51}, isbn={978-1-4799-4103-2}, address={Piscataway}, publisher={IEEE}, booktitle={Proceedings : 18th International Conference on Information Visualisation (IV), 16-18 July 2014}, pages={19--26}, editor={Ebad Banissi ...}, author={Panagiotidis, Alexandros and Burch, Michael and Deussen, Oliver and Weiskopf, Daniel and Ertl, Thomas} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Burch, Michael</dc:creator> <dc:contributor>Ertl, Thomas</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dspace:isPartOfCollection rdf:resource=""/> <dc:creator>Panagiotidis, Alexandros</dc:creator> <dcterms:abstract xml:lang="eng">The visualization of relational data by node-link diagrams quickly leads to a degradation of performance at some exploration tasks when the diagrams show visual clutter and overdraw. To address this challenge of large-data graph visualization, we introduce Graph Metric Views, a technique that enriches the visualization of traditional layout strategies for node-link diagrams by additionally allowing an analyst to interactively explore graph-specific metrics such as number of nodes, number of link crossings, link coverage, or degree of orthogonality. To this end, we support an analyst with additional histogram-like representations at the axes of the display space for graph-specific metrics. In this way, a cluttered and densely packed node-link diagram becomes more explorable even for dense graph regions: The user can use the distribution of metric values as an overview and then select regions of interest for further investigation and filtering.</dcterms:abstract> <dc:contributor>Weiskopf, Daniel</dc:contributor> <dcterms:isPartOf rdf:resource=""/> <dc:creator>Weiskopf, Daniel</dc:creator> <dc:language>eng</dc:language> <dc:contributor>Panagiotidis, Alexandros</dc:contributor> <dc:date rdf:datatype="">2015-02-24T12:19:29Z</dc:date> <dcterms:available rdf:datatype="">2015-02-24T12:19:29Z</dcterms:available> <dc:creator>Deussen, Oliver</dc:creator> <dcterms:title>Graph Exploration by Multiple Linked Metric Views</dcterms:title> <dc:contributor>Deussen, Oliver</dc:contributor> <dc:creator>Ertl, Thomas</dc:creator> <bibo:uri rdf:resource=""/> <dcterms:issued>2014</dcterms:issued> <dc:contributor>Burch, Michael</dc:contributor> </rdf:Description> </rdf:RDF>

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