Graphemes: self-organizing shape-based clustered structures for network visualisations

Authors:
Ross Shannon;Aaron Quigley;Paddy Nixon
Affiliations:
UCD Dublin, Dublin, Ireland;University of Tasmania, Launceston, Australia;UCD Dublin, Dublin, Ireland
Venue:
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Year:
2010

Citing 3
Cited 0

Dynamic graph drawing

Drawing graphs
Graph Visualization and Navigation in Information Visualization: A Survey

IEEE Transactions on Visualization and Computer Graphics
Interactive visualization of large graphs and networks

Interactive visualization of large graphs and networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls the visual arrangement of the vertices in a cluster to explicitly encode information about that cluster. Our technique arranges parts of the graph into symbolic shapes, depending on the relative size of each cluster. Early results suggest that this layout augmentation helps viewers make sense of a graph's scale and number of elements, while facilitating recall of graph features, and increasing stability in dynamic graph scenarios.