Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Computer Graphics Forum Année : 2015

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

Résumé

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.
Fichier principal
Vignette du fichier
main.pdf (2.29 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01158987 , version 1 (29-09-2015)

Identifiants

Citer

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, 2015, ⟨10.1111/cgf.12615⟩. ⟨hal-01158987⟩
208 Consultations
850 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More