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Group-Level Graph Visualization Taxonomy

Eurographics Conference on Visualization, 2014
Task taxonomies for graph and network visualization focus on tasks commonly encountered when analyzing graph connectivity and topology. However, in many application fields such as the social sciences (social networks), biology (protein interaction models)
B. Saket, Paolo Simonetto, S. Kobourov
semanticscholar   +1 more source

Proxy Graph: Visual Quality Metrics of Big Graph Sampling

IEEE Transactions on Visualization and Computer Graphics, 2017
Data sampling has been extensively studied for large scale graph mining. Many analyses and tasks become more efficient when performed on graph samples of much smaller size. The use of proxy objects is common in software engineering for analysis and interaction with heavy objects or systems.
Quan Hoang, Nguyen   +3 more
openaire   +2 more sources

Graph Builder: Constructing Non-visual Visualizations

2007
This paper introduces a novel application called Graph Builder, which allows visually impaired people to interactively construct bar graphs using a force feedback device. We discuss the limitations of current technology to allow such interactive construction and explain why, in educational environments, such interactive construction is important ...
David K. McGookin, Stephen A. Brewster
openaire   +1 more source

The dynamic graph wall: visualizing evolving graphs with multiple visual metaphors

Journal of Visualization, 2016
Visualizing dynamic graphs is challenging due to the many data dimensions to be displayed such as graph vertices and edges with their attached weights or attributes and the additional time dimension. Moreover, edge directions with multiplicities and the graph topology are also important inherent features.
openaire   +1 more source

Clustering-based force-directed algorithms for 3D graph visualization

Journal of Supercomputing, 2020
Jiawei Lu, Yain-Whar Si
semanticscholar   +1 more source

A Taxonomy and Survey of Dynamic Graph Visualization

Computer graphics forum (Print), 2017
Fabian Beck   +3 more
semanticscholar   +1 more source

Visualizing Graphs and Networks

2020
In Chapter 6, we demonstrated the visualization of images and 3D objects with Python 3 and Matplotlib. We also learned a bit of image processing.
openaire   +1 more source

GraSp: Combining Spatially‐aware Mobile Devices and a Display Wall for Graph Visualization and Interaction

Computer graphics forum (Print), 2017
Ulrike Kister   +3 more
semanticscholar   +1 more source

A gesture system for graph visualization in virtual reality environments

IEEE Pacific Visualization Symposium, 2017
Yi-Jheng Huang   +4 more
semanticscholar   +1 more source

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