Target Netgrams: An Annulus-Constrained Stress Model for Radial Graph Visualization - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Visualization and Computer Graphics Année : 2022

Target Netgrams: An Annulus-Constrained Stress Model for Radial Graph Visualization

Mingliang Xue
Yunhai Wang
Chang Han
Jian Zhang
Zheng Wang
  • Fonction : Auteur
Kaiyi Zhang
Jian Zhao
  • Fonction : Auteur
Oliver Deussen

Résumé

We present Target Netgrams as a visualization technique for radial layouts of graphs. Inspired by manually created target sociograms, we propose an annulus-constrained stress model that aims to position nodes onto the annuli between adjacent circles for indicating their radial hierarchy, while maintaining the network structure (clusters and neighborhoods) and improving readability as much as possible. This is achieved by having more space on the annuli than traditional layout techniques. By adapting stress majorization to this model, the layout is computed as a constrained least square optimization problem. Additional constraints (e.g., parent-child preservation, attribute-based clusters and structure-aware radii) are provided for exploring nodes, edges, and levels of interest. We demonstrate the effectiveness of our method through a comprehensive evaluation, a user study, and a case study.

Dates et versions

hal-03806852 , version 1 (08-10-2022)

Identifiants

Citer

Mingliang Xue, Yunhai Wang, Chang Han, Jian Zhang, Zheng Wang, et al.. Target Netgrams: An Annulus-Constrained Stress Model for Radial Graph Visualization. IEEE Transactions on Visualization and Computer Graphics, 2022, pp.1-13. ⟨10.1109/TVCG.2022.3187425⟩. ⟨hal-03806852⟩

Collections

ENAC DEVI
36 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More