Task taxonomy for graph visualization
By Bongshin Lee, Catherine Plaisant, C. Parr, Jean-Daniel Fekete, Nathalie Henry Riche. Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, 2006
480 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/695317f69c53eb4a418667e75c9f8f43b89d7e61
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Nathalie Henry Riche
- Michael J. McGuffin
- Tamara Munzner
- Jean-Daniel Fekete
- Matthew Brehmer
- J. C. Roberts
- Jeffrey Heer
- Michael Bostock
In Computer Vision and Pattern Recognition
- Tamara Munzner
- Nathalie Henry Riche
- Michael J. McGuffin
- Jean-Daniel Fekete
- Matthew Brehmer
- Paul Vickers
- Helen Gibson
- Joe Faith
Citations in the corpus
- A survey of two-dimensional graph layout techniques for information visualisation (2013, methodology): “enable the user to complete many of the graph analysis tasks defined by Lee et al.(80) A pure attribute-only-based generic constraintbased layout technique is Shneiderman and Aris’s NVSS (Network Visualisation by Semantic Substrates).”
- A Nested Model for Visualization Design and Validation (2009, background): “propose a task taxonomy for graphs which includes following a path through a graph [25].”
- A Multi-Level Typology of Abstract Visualization Tasks (2013, background): “’s taxonomy of graph visualization tasks [37], in which this task would be classified as a topology task, namely one of determining connectivity and subsequently finding the shortest path.”
- NodeTrix: a Hybrid Visualization of Social Networks (2007, methodology): “We now consider each of these three tasks in more detail, pointing out the corresponding graph-theoretic properties or graph analysis tasks using the taxonomy of tasks in [26].”