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Article Dans Une Revue Visual Informatics Année : 2020

On Visualization Techniques Comparison for Large Social Networks Overview: a User Experiment

Résumé

Visualizing social networks, especially an overview emphasizing their structure, i.e., communities and their interconnections, is known to be a challenging problem. In this paper, we present a set of design rationales to build such overview visualizations of social networks and our solution called Jasper. We evaluate its performances against two of the most widespread visualization techniques (ma-trix and node-link diagram) in a human-computer controlled experiment based on community-related tasks. While none of the techniques emerge as the overwhelming winner, Jasper appears to be one of the best method for each task; a fact sustained by the marks given by the users. Overall, Jasper can be seen as an all-encompassing solution for quickly producing legible and compact overviews of large social networks on a single modern computer.
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Dates et versions

hal-02959817 , version 1 (07-10-2020)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

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Bruno Pinaud, Jason Vallet, Guy Melançon. On Visualization Techniques Comparison for Large Social Networks Overview: a User Experiment. Visual Informatics, 2020, 4 (4), pp.23-34. ⟨10.1016/j.visinf.2020.09.005⟩. ⟨hal-02959817⟩

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