Interaction in the Visualization of Multivariate Networks

Michael Wybrow, Niklas Elmqvist, Jean-Daniel Fekete, Tatiana von Landesberger, Jarke J. van Wijk, Björn Zimmer

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

8 Citations (Scopus)


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, Revised Discussions
Number of pages29
ISBN (Print)978-3-319-06792-6
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8380 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


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