In this paper we illustrate how the formerly published work on Parallel Edge Splatting can be combined with the concept of Rapid Serial Visual Presentation (RSVP) to allow more scalable graph visualizations with respect to the time dimension. RSVP is a powerful concept that can be compared with the riffling of a book's pages with the goal to rapidly obtain insights and browse the content. Furthermore, a hidden but well-known feature in a dataset can be uncovered very fast. This concept can also be applied to dynamic graph visualization.
A subsequence of a dynamic graph is shown in a side-by-side representation and a sliding time window is used to rapidly move this subsequence. The viewer is able to explore the displayed graph sequence and can also vary the speed of presentation. An adaptive speed can be used that takes the differences between subsequent graphs into account.
A video illustrating this concept is accessible via: http://www.st.uni-trier.de/vlhcc12/