Metrics for Graph Drawing Aesthetics

By H. Purchase. 2002

342 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Tuan M. V. Le
2. Hady W. Lauw
3. Nathan Ensmenger

In Computer Graphics and Computer-Aided Design

1. Tuan M. V. Le
2. Hady W. Lauw

In Computer Vision and Pattern Recognition

1. Tommaso Venturini
2. Tuan M. V. Le
3. Hady W. Lauw
4. Mathieu Jacomy
5. Sebastien Heymann
6. Mathieu Bastian
7. Maranke Wieringa
8. Rebecca Ferguson

Citations in the corpus

• ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software (2014, background): “Purchase uses aesthetic criteria [21] while A.”
• Probabilistic Latent Document Network Embedding (2014, background): “The closest one to ours is PLSV [5], which pioneers the integration of topic modeling and visualization in a joint model.”
• Big data, bigger dilemmas: A critical review (2015, background): “Most graph drawing algorithms are based on a common set of criteria about what things to apply and what things to avoid (e.g., minimize edge crossing and favor symmetry), and such criteria strongly shape the final appearance of the visualization (Chen, 2006; Purchase, 2002).”