Abstract—Rapid Serial Visual Presentation is an effective approach for browsing and searching large amounts of data. By presenting subsequent images at high frequency, we utilize the perceptual abilities of the human visual system to rapidly process certain visual features. While this concept is successfully used in video and image browsing, we demonstrate how it can be applied to dynamic graph visualization. In this paper, we introduce a visualization technique for time-varying graphs that is scalable with respect to the number of time steps. The graph visualization is based on the Parallel Edge Splatting technique, which employs a space-efficient display of a sequence of dynamically changing graphs. To illustrate the usefulness of our app...
the Netherlands Abstract — Depicting change captured by dynamic graphs and temporal paths, or trails...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two t...
Abstract—Rapid Serial Visual Presentation is an effective approach for browsing and searching large ...
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...
Software systems produce long sequences of call graphs, in particular, if the graphs are generated d...
Dynamic graphs are increasingly pervasive in modern information systems. However, understanding how ...
In this paper, we describe an interactive visualization tool for representing the dynamics of graph ...
Graph drawing algorithms have classically addressed the layout of static graphs. However, the need t...
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
For types of data visualization where the cost of producing images is high, and the relationship bet...
In this paper, an overview-based interactive visualization for temporally long dynamic data sequence...
Honorable Mention Paper AwardInternational audienceDynamic graphs are increasingly pervasive in mode...
Abstract—We present a scalable, interactive graph visu-alization system to support multi-resolution ...
the Netherlands Abstract — Depicting change captured by dynamic graphs and temporal paths, or trails...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two t...
Abstract—Rapid Serial Visual Presentation is an effective approach for browsing and searching large ...
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...
Software systems produce long sequences of call graphs, in particular, if the graphs are generated d...
Dynamic graphs are increasingly pervasive in modern information systems. However, understanding how ...
In this paper, we describe an interactive visualization tool for representing the dynamics of graph ...
Graph drawing algorithms have classically addressed the layout of static graphs. However, the need t...
In this paper, we present a new approach to exploring dynamic graphs. We have developed a new cluste...
For types of data visualization where the cost of producing images is high, and the relationship bet...
In this paper, an overview-based interactive visualization for temporally long dynamic data sequence...
Honorable Mention Paper AwardInternational audienceDynamic graphs are increasingly pervasive in mode...
Abstract—We present a scalable, interactive graph visu-alization system to support multi-resolution ...
the Netherlands Abstract — Depicting change captured by dynamic graphs and temporal paths, or trails...
International audienceWe present GraphDiaries, an interface for temporal navigation in networks chan...
Depicting change captured by dynamic graphs and temporal paths, or trails, is hard. We present two t...