Tulip : A huge graph visualisation framework

David Auber (1)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique

The research by the information visualization community (“Info Viz”) shows clearly that using a visual representation of data-sets enables faster analysis by the end users. Several scientific reasons explain these results. First of all, the visual perception system is the most powerful of all the human perception systems. In the human brain, 70% of the receptors and 40% of the cortex are used for the vision process [27,34]. Furthermore, human beings are better at “recognition” tasks than at “memorization” tasks [10]. This implies that textual representations are less efficient than visual metaphors when one wants to analyze huge data-sets. This comes from the fact that reading is both a memorization task and a recognition task.

Domains: Other [cs.OH]

David Auber. Tulip : A huge graph visualisation framework. Petra Mutzel and Michael Junger. Graph Drawing Software, Springer Berlin Heidelberg, pp.105-126, 2004, Mathematics and Visualization, 978-3-642-18638-7. ⟨10.1007/978-3-642-18638-7_5⟩. ⟨hal-00307626⟩