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

4 Citations (Scopus)
1 Downloads (Pure)

Abstract

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
PublisherSpringer
Chapter6
Pages97-125
ISBN (Print)978-3-319-06792-6
DOIs
Publication statusPublished - 2014
EventInformation Visualization: Towards Multivariate Network Visualization - Schloss Dagstuhl, Wadern, Germany
Duration: 12 May 201317 May 2013
https://www.dagstuhl.de/en/program/calendar/semhp/?semnr=13201

Publication series

NameLecture Notes in Computer Science
Volume8380
ISSN (Print)0302-9743

Seminar

SeminarInformation Visualization: Towards Multivariate Network Visualization
CountryGermany
CityWadern
Period12/05/1317/05/13
OtherDagstuhl Seminar 13201
Internet address

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  • Cite this

    Wybrow, M., Elmqvist, N., Fekete, J. D., Landesberger, von, T., Wijk, van, J. J., & Zimmer, B. (2014). Interaction in the visualization of multivariate networks. In A. Kerren, H. C. Purchase, & M. O. Ward (Eds.), Multivariate Network Visualization (Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions) (pp. 97-125). (Lecture Notes in Computer Science; Vol. 8380). Berlin: Springer. https://doi.org/10.1007/978-3-319-06793-3_6