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MatLink: Enhanced Matrix Visualization for Analyzing Social Networks

Nathalie Henry 1, 2 Jean-Daniel Fekete 1, * 
* Corresponding author
1 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
Abstract : Visualizing social networks presents challeges for both node- link and adjacency matrix representations. Social networks are locally dense, which makes node-link displays unreadable. Yet, main analysis tasks require following paths, which is difficult on matrices. This article presents MatLink, a hybrid representation with links overlaid on the borders of a matrix and dynamic topological feedback as the pointer moves. We evaluated MatLink by an experiment comparing its readability, in term of errors and time, for social network-related tasks to the other conventional representations on graphs varying in size (small and medium) and density. It showed significant advantages for most tasks, especially path-related ones where standard matrices are weak.
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Submitted on : Friday, August 16, 2013 - 12:21:37 PM
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Nathalie Henry, Jean-Daniel Fekete. MatLink: Enhanced Matrix Visualization for Analyzing Social Networks. Human-Computer Interaction - INTERACT 2007, IFIP, Sep 2007, Rio de Janeiro, Brazil. pp.288-302, ⟨10.1007/978-3-540-74800-7_24⟩. ⟨hal-00851672⟩



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