<div class="csl-bib-body">
<div class="csl-entry">Filipov, V., Arleo, A., Landesberger, T. von, & Archambault, D. (2023, October 21). <i>Back to the Graphs: A Collection of Datasets and Quality Criteria for Temporal Networks Layout and Visualization</i> [Poster Presentation]. IEEE VIS 2023, Melbourne, Australia. https://doi.org/10.34726/5451</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/193846
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dc.identifier.uri
https://doi.org/10.34726/5451
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dc.description.abstract
Dynamic network visualization is a rapidly evolving field and computing a node-link layout for these graphs is one of the most studied problems in this discipline. Benchmark datasets and quality criteria are lacking in order to enable comparative evaluations of the layouts produced by different dynamic network visualization techniques. This paper proposes a collection of both discrete time and event-based dynamic quality criteria for evaluating dynamic graph layouts. Furthermore, we present and discuss datasets, generated from real data, which we include in a benchmark set for future researchers to use in their evaluations.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Graph Visualization
en
dc.subject
network visualization
en
dc.subject
Data Set
en
dc.subject
Visual Analytics
en
dc.subject
time-oriented data
en
dc.title
Back to the Graphs: A Collection of Datasets and Quality Criteria for Temporal Networks Layout and Visualization
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/5451
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dc.contributor.affiliation
University of Cologne, Germany
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dc.contributor.affiliation
Newcastle University, United Kingdom of Great Britain and Northern Ireland (the)
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dc.relation.grantno
P35767-N
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dc.type.category
Poster Presentation
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tuw.project.title
ArtVis: Dynamische Netzwerk für die digitale Kunstgeschichte
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tuw.researchTopic.id
I5
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tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E193-07 - Forschungsbereich Visual Analytics
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tuw.author.orcid
0000-0001-9592-2179
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tuw.author.orcid
0000-0003-2008-3651
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tuw.author.orcid
0000-0003-4978-8479
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.event.name
IEEE VIS 2023
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tuw.event.startdate
22-10-2023
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tuw.event.enddate
27-10-2023
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Melbourne
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tuw.event.country
AU
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tuw.event.presenter
Arleo, Alessio
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
90
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wb.sciencebranch.value
10
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item.languageiso639-1
en
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item.openairetype
conference poster not in proceedings
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item.grantfulltext
open
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_18co
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
-
crisitem.author.dept
E193-07 - Forschungsbereich Visual Analytics
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crisitem.author.dept
Newcastle University
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crisitem.author.orcid
0000-0001-9592-2179
-
crisitem.author.orcid
0000-0003-2008-3651
-
crisitem.author.orcid
0000-0003-4978-8479
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
