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Interaction in the visualization of multivariate networks
Monash University Caulfield, Australia.
Purdue University, USA.
INRIA, France.
Technische Universität Darmstadt, Germany.
Show others and affiliations
2014 (English)In: Towards Multivariate Network Visualization: 3rd Dagstuhl Seminar on Information Visualization, Germany, May 12-17, 2013. Revised Discussions / [ed] Andreas Kerren, Helen C. Purchase, Matthew O. Ward, Springer, 2014, 97-125 p.Conference paper, Published paper (Refereed)
Abstract [en]

The overall aim of visualization is to obtain insight into large amounts of data. Detection of patterns as well as outliers are typical examples. For networks, such patterns can be number and position of cliques; for multivariate data this can be the correlation between attributes. The major challenge of multivariate network visualization is to understand the interplay between properties of the network and its associated data, for instance to see if the formation of cliques can be understood from attributes of nodes.

Place, publisher, year, edition, pages
Springer, 2014. 97-125 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8380
National Category
Computer Systems Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:lnu:diva-59123DOI: 10.1007/978-3-319-06793-3_6Scopus ID: 2-s2.0-84901276102ISBN: 9783319067926 (print)OAI: oai:DiVA.org:lnu-59123DiVA: diva2:1057685
Conference
3rd Dagstuhl Seminar on Information Visualization, Germany, May 12-17, 2013
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2017-03-21Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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Output format
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  • asciidoc
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