IEEE Symposium on Information Visualization · 2005 · 262 citations · 8 references
ComputingVisualizationData VisualizationGraph VisualizationInformation VisualizationEvaluation Of VisualizationsGraph DrawingGraph TheoryGraphical RepresentationNode-link DiagramsGraph ReadabilityMatrix RepresentationsMatrix VisualizationMatrix-based Graph ComparisonNode-link Diagram Readability
In this paper, we describe a taxonomy of generic graph related tasks and an evaluation aiming at assessing the readability of two representations of graphs: matrix-based representations and node-link diagrams. This evaluation bears on seven generic tasks and leads to important recommendations with regard to the representation of graphs according to their size and density. For instance, we show that when graphs are bigger than twenty vertices, the matrix-based visualization performs better than node-link diagrams on most tasks. Only path finding is consistently in favor of node-link diagrams throughout the evaluation
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Cognitive Measurements of Graph Aesthetics
Colin Ware, Helen C. Purchase, Linda Colpoys et al. · Information Visualization · 2002 · 355 citations
Computing, Visualization, Aesthetics +10