NodeTrix: Hybrid Representation for Analyzing Social Networks

Abstract : The need to visualize large social networks is growing as hardware capabilities make analyzing large networks feasible and many new data sets become available. Unfortunately, the visualizations in existing systems do not satisfactorily answer the basic dilemma of being readable both for the global structure of the network and also for detailed analysis of local communities. To address this problem, we present NodeTrix, a hybrid representation for networks that combines the advantages of two traditional representations: node-link diagrams are used to show the global structure of a network, while arbitrary portions of the network can be shown as adjacency matrices to better support the analysis of communities. A key contribution is a set of interaction techniques. These allow analysts to create a NodeTrix visualization by dragging selections from either a node-link or a matrix, flexibly manipulate the NodeTrix representation to explore the dataset, and create meaningful summary visualizations of their findings. Finally, we present a case study applying NodeTrix to the analysis of the InfoVis 2004 coauthorship dataset to illustrate the capabilities of NodeTrix as both an exploration tool and an effective means of communicating results.
Type de document :
Rapport
[Research Report] RR-6183, INRIA. 2007
Liste complète des métadonnées


https://hal.inria.fr/inria-00144496
Contributeur : Rapport de Recherche Inria <>
Soumis le : jeudi 21 juin 2007 - 11:01:40
Dernière modification le : jeudi 9 février 2017 - 15:47:15
Document(s) archivé(s) le : jeudi 23 septembre 2010 - 15:57:13

Fichiers

open_file.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00144496, version 3
  • ARXIV : 0705.0599

Collections

Citation

Nathalie Henry, Jean-Daniel Fekete, Michael Mcguffin. NodeTrix: Hybrid Representation for Analyzing Social Networks. [Research Report] RR-6183, INRIA. 2007. <inria-00144496v3>

Partager

Métriques

Consultations de
la notice

333

Téléchargements du document

255