Visual Inspection of Multivariate Graphs

9 years 9 months ago
Visual Inspection of Multivariate Graphs
Most graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations and patterns in terms of data associated with nodes and edges, we present a technique where this data plays a more central role. Nodes and edges are clustered based on associated data. Via direct manipulation users can interactively inspect and query the graph. Questions that can be answered include, "which edge types are activated by specific node attributes?" and, "how and from where can I reach specific types of nodes?" To validate our approach we contrast it with current practice. We also provide several examples where our method was used to study transition graphs that model real-world systems. Categories and Subject Descriptors (according to ACM CCS): H.5.2 [Information Interfaces and Presentation]: User Interfaces; I.3.8 [Computer Graphics]: Applications; I.6.4 [Simulation and Mode...
A. Johannes Pretorius, Jarke J. van Wijk
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CGF
Authors A. Johannes Pretorius, Jarke J. van Wijk
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