  Graphs change over time, and typically variations on the small multiples or
animation pattern is used to convey this dynamism visually. However, both of
these classical techniques have significant drawbacks, so a new approach,
Storyline Visualization of Events on a Network (SVEN) is proposed. SVEN builds
on storyline techniques, conveying nodes as contiguous lines over time. SVEN
encodes time in a natural manner, along the horizontal axis, and optimizes the
vertical placement of storylines to decrease clutter (line crossings,
straightness, and bends) in the drawing. This paper demonstrates SVEN on
several different flavors of real-world dynamic data, and outlines the
remaining near-term future work.
