Multivariate networks are graphs, which consist of a set of nodes and a set of connections between these nodes, that have additional data dimensions for each node and/or connection.<br />Such multivariate graphs are prevalent in a number of different fields, including biological systems and social sciences.<br />In this thesis, an existing linked-view system for analyzing multivariate data has been extended for the analysis of networks.<br />A node-link view has been implemented to give an overview of the graph.<br />To leverage existing visualizations, additional data about the structure of the network can be added to the nodes and analyzed with views designed for unconnected multivariate data.<br />Another contribution is a novel visualization that supports the study of queries concerning relationships between different groups of nodes in a network.
en
dc.language
English
-
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
Graphenanalyse
de
dc.subject
Visual Analytics
de
dc.title
Visualization of multivariate networks
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.contributor.affiliation
TU Wien, Österreich
-
dc.rights.holder
Stephan Pajer
-
tuw.version
vor
-
tuw.thesisinformation
Technische Universität Wien
-
tuw.publication.orgunit
E186 - Institut für Computergraphik und Algorithmen