We propose a new approach to visualize social networks. Most common network visualizations rely on graph drawing. While without doubt useful, graphs suffer from limitations like cl...
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
This paper introduces a new edge length heuristic that finds a graph layout where the edge lengths are proportional to the weights on the graph edges. The heuristic can be used in...
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
This paper presents Keg Master, a graph-aware visual editor for 3D graphs. Keg Master is novel in that it works with a graph description language as opposed to a scene graph descr...
Hannah Slay, Matthew Phillips, Bruce H. Thomas, Ru...