CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
MGV: A System for Visualizing Massive Multidigraphs
IEEE Transactions on Visualization and Computer Graphics
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
The challenge of information visualization evaluation
Proceedings of the working conference on Advanced visual interfaces
Focus dependent multi-level graph clustering
Proceedings of the working conference on Advanced visual interfaces
Exploratory Social Network Analysis with Pajek
Exploratory Social Network Analysis with Pajek
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
prefuse: a toolkit for interactive information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual exploration of multivariate graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fisheye Tree Views and Lenses for Graph Visualization
IV '06 Proceedings of the conference on Information Visualization
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
IEEE Transactions on Visualization and Computer Graphics
Balancing Systematic and Flexible Exploration of Social Networks
IEEE Transactions on Visualization and Computer Graphics
Network Visualization by Semantic Substrates
IEEE Transactions on Visualization and Computer Graphics
TopoLayout: Multilevel Graph Layout by Topological Features
IEEE Transactions on Visualization and Computer Graphics
RDF data exploration and visualization
Proceedings of the ACM first workshop on CyberInfrastructure: information management in eScience
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
IEEE Transactions on Visualization and Computer Graphics
Efficient aggregation for graph summarization
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A physics-based approach for interactive manipulation of graph visualizations
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Multi-Focused Geospatial Analysis Using Probes
IEEE Transactions on Visualization and Computer Graphics
TugGraph: Path-preserving hierarchies for browsing proximity and paths in graphs
PACIFICVIS '09 Proceedings of the 2009 IEEE Pacific Visualization Symposium
Uncluttering Graph Layouts Using Anisotropic Diffusion and Mass Transport
IEEE Transactions on Visualization and Computer Graphics
“Search, Show Context, Expand on Demand”: Supporting Large Graph Exploration with Degree-of-Interest
IEEE Transactions on Visualization and Computer Graphics
Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations
IEEE Transactions on Visualization and Computer Graphics
Visual inspection of multivariate graphs
EuroVis'08 Proceedings of the 10th Joint Eurographics / IEEE - VGTC conference on Visualization
Editorial: Foreword to special section
Computers and Graphics
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Graphic interfaces are vital when interacting with the vast amounts of information available today. A multivariate-graphs, containing typed nodes and typed links between nodes, is very often used to represent many types of data. Such graphs impose greater demands on graphical interaction techniques as they contain a great amount of information as attributes of graph entities. To visualize and interact with such graphs, stronger tools are needed for visualization and interaction that combine statistical and topological analysis, and provide the link to the correct information context whenever possible. In this paper we present visual queries as a graphical interface that reveals semantic information and assists both navigation and exploration of multivariate graphs. Visual queries display the results of specific queries on the elements of the graph or their data in a pop-up view. This promotes view consistency as the main graph depiction is preserved and allows multiple inspections of various data aspects simultaneously in context. We demonstrate three types of visual queries: topological, statistical and contextual and show how these are used effectively for various tasks of interactive graph exploration.