Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks

Abstract : We introduce MultiPiles, a visualization to explore time-series of dense, weighted networks. MultiPiles is based on the physical analogy of piling adjacency matrices, each one representing a single temporal snapshot. Common interfaces for visualizing dynamic networks use techniques such as: flipping/animation; small multiples; or summary views in isolation. Our proposed 'piling' metaphor presents a hybrid of these techniques, leveraging each one's advantages, as well as offering the ability to scale to networks with hundreds of temporal snapshots. While the MultiPiles technique is applicable to many domains, our prototype was initially designed to help neuroscien-tists investigate changes in brain connectivity networks over several hundred snapshots. The piling metaphor and associated interaction and visual encodings allowed neuroscientists to explore their data, prior to a statistical analysis. They detected high-level temporal patterns in individual networks and this helped them to formulate and reject several hypotheses.
Liste complète des métadonnées

https://hal.inria.fr/hal-01158987
Contributeur : Benjamin Bach <>
Soumis le : mardi 29 septembre 2015 - 16:51:31
Dernière modification le : samedi 18 février 2017 - 01:14:44
Document(s) archivé(s) le : mercredi 30 décembre 2015 - 10:10:51

Fichier

main.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Benjamin Bach, Nathalie Henry-Riche, Tim Dwyer, Tara Madhyastha, Jean-Daniel Fekete, et al.. Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks. Computer Graphics Forum, Wiley, 2015, <The Eurographics Association and John Wiley & Sons Ltd., Aire-la-Ville, Switzerland>. <10.1111/cgf.12615>. <hal-01158987>

Partager

Métriques

Consultations de
la notice

190

Téléchargements du document

262