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AVI
2006

Just how dense are dense graphs in the real world?: a methodological note

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Just how dense are dense graphs in the real world?: a methodological note
This methodological note focuses on the edge density of real world examples of networks. The edge density is a parameter of interest typically when putting up user studies in an effort to prove the robustness or superiority of a novel graph visualization technique. We survey many real world examples all being of equal interest in Information Visualization, and draw a list of conclusions on how to tune edge density when randomly generating graphs in order to build artificial though realistic examples. Categories and Subject Descriptors H.5.2 [Information Interfaces]: User Interfaces--Evaluation/Methodology, Benchmarking; G.2.2 [Discrete Mathematics]: Graph Theory--Graph Algorithms; G. [Probability and Statistics]: Random generation Keywords Interface Evaluation, Information Visualization, Graph Models, Edge Density, Random Generation, Real World Examples
Guy Melançon
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where AVI
Authors Guy Melançon
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