Interaction in the visualization of multivariate networks

M. Wybrow, N. Elmqvist, J.D. Fekete, T. Landesberger, von, J.J. Wijk, van, B. Zimmer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

5 Citations (Scopus)
1 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationMultivariate Network Visualization (Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions)
EditorsA. Kerren, H.C. Purchase, M.O. Ward
Place of PublicationBerlin
ISBN (Print)978-3-319-06792-6
Publication statusPublished - 2014
EventInformation Visualization: Towards Multivariate Network Visualization - Schloss Dagstuhl, Wadern, Germany
Duration: 12 May 201317 May 2013

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


SeminarInformation Visualization: Towards Multivariate Network Visualization
OtherDagstuhl Seminar 13201
Internet address

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