CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The perspective wall: detail and context smoothly integrated
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphical fisheye views of graphs
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Stretching the rubber sheet: a metaphor for viewing large layouts on small screens
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
A Layout Adjustment Problem for Disjoint Rectangles Preserving Orthogonal Order
GD '98 Proceedings of the 6th International Symposium on Graph Drawing
Improved Force-Directed Layouts
GD '98 Proceedings of the 6th International Symposium on Graph Drawing
Algorithms for Drawing Graphs: An Annotated Bibliography
Algorithms for Drawing Graphs: An Annotated Bibliography
Using spring algorithms to remove node overlapping
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
A fisheye follow-up: further reflections on focus + context
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A new algorithm for removing node overlapping in graph visualization
Information Sciences: an International Journal
Generalized selection via interactive query relaxation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
“Search, Show Context, Expand on Demand”: Supporting Large Graph Exploration with Degree-of-Interest
IEEE Transactions on Visualization and Computer Graphics
Fast node overlap removal: correction
GD'06 Proceedings of the 14th international conference on Graph drawing
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Focus+Context is a popular and effective technique for graph exploration. While previous works concentrate on studying how to display focal nodes with a single context, we argue that it is often difficult to select an optimal context for a complex graph exploration task in practice. In this paper, we propose Multi-Con, a technique to allow users viewing multiple contexts to explore graphs more effectively and efficiently. Our idea is to let users define multiple contexts to reveal different aspects of the graph and enable users to switch between these contexts quickly and interactively in a single view during exploration. Multi-Con provides two key features to ensure the effectiveness and efficiency when using multiple contexts for graph exploration. First, it can achieve good legibility when displaying foci with each context in limited viewing space. In addition, it allows users to switch between contexts smoothly and quickly. We have conducted a case study with social network data extracted from paper authorship relations on three major conferences in computer architecture and systems areas. The results have shown that Multi-Con can help users quickly learn the relationship between foci and the rest of the network in multiple aspects.