Tulip : A huge graph visualisation framework

Abstract : 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.
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Chapitre d'ouvrage
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〉
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https://hal.archives-ouvertes.fr/hal-00307626
Contributeur : David Auber <>
Soumis le : mardi 29 juillet 2008 - 12:09:19
Dernière modification le : jeudi 11 janvier 2018 - 06:20:15

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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〉

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