This paper introduces GraphSplatting, a technique which transforms a graph into a two-dimensional scalar field. The scalar field can be rendered as a color coded map, a height field, or a set of contours. Splat fields allow for the visualization of arbitrarily large graphs without cluttering. They provide density information which can be used to determine the structure of the graph. The construction, visualization, and interaction with splat fields is discussed. Two applications illustrate the usage of GraphSplatting
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
Indroduction. Large graphs appear in many application domains. Their analysis can be done automati...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
This paper introduces GraphSplatting, a technique which transforms a graph into a two-dimensional sc...
Abstract—We present a novel dynamic graph visualization technique based on node-link diagrams. The g...
We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layo...
Many classical graph visualization algorithms have already been developed over the past decades. How...
Many classical graph visualization algorithms have already been developed over the past decades. How...
It is a difficult problem to display large, complex graphs in a manner which furthers comprehension....
Graph visualization plays an increasingly important role in software engineering and information sys...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
Directed and undirected graphs provide a natural notation for describing many fundamental structures...
International audienceThe analysis of large graphs plays a prominent role in various fields of resea...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
Indroduction. Large graphs appear in many application domains. Their analysis can be done automati...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
This paper introduces GraphSplatting, a technique which transforms a graph into a two-dimensional sc...
Abstract—We present a novel dynamic graph visualization technique based on node-link diagrams. The g...
We present a time-scalable approach for visualizing dynamic graphs. By adopting bipartite graph layo...
Many classical graph visualization algorithms have already been developed over the past decades. How...
Many classical graph visualization algorithms have already been developed over the past decades. How...
It is a difficult problem to display large, complex graphs in a manner which furthers comprehension....
Graph visualization plays an increasingly important role in software engineering and information sys...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
Directed and undirected graphs provide a natural notation for describing many fundamental structures...
International audienceThe analysis of large graphs plays a prominent role in various fields of resea...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...
Indroduction. Large graphs appear in many application domains. Their analysis can be done automati...
The analysis of large graphs plays a prominent role in various fields of research and is relevant in...