MatLink: Enhanced Matrix Visualization for Analyzing Social Networks

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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Cécilia Baranauskas and Philippe Palanque and Julio Abascal and Simone Diniz Junqueira Barbosa. Human-Computer Interaction - INTERACT 2007, Sep 2007, Rio de Janeiro, Brazil. Springer, 4663, pp.288-302, 2007, 11th IFIP TC 13 International Conference, Rio de Janeiro, Brazil, September 10-14, 2007, Proceedings, Part II; Lecture Notes in Computer Science. <http://link.springer.com/chapter/10.1007%2F978-3-540-74800-7_24>. <10.1007/978-3-540-74800-7_24>
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https://hal.inria.fr/hal-00851672
Contributeur : Jean-Daniel Fekete <>
Soumis le : vendredi 16 août 2013 - 12:21:37
Dernière modification le : jeudi 9 février 2017 - 15:47:54

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Nathalie Henry, Jean-Daniel Fekete. MatLink: Enhanced Matrix Visualization for Analyzing Social Networks. Cécilia Baranauskas and Philippe Palanque and Julio Abascal and Simone Diniz Junqueira Barbosa. Human-Computer Interaction - INTERACT 2007, Sep 2007, Rio de Janeiro, Brazil. Springer, 4663, pp.288-302, 2007, 11th IFIP TC 13 International Conference, Rio de Janeiro, Brazil, September 10-14, 2007, Proceedings, Part II; Lecture Notes in Computer Science. <http://link.springer.com/chapter/10.1007%2F978-3-540-74800-7_24>. <10.1007/978-3-540-74800-7_24>. <hal-00851672>

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