  Timeslices are often used to draw and visualize dynamic graphs. While
timeslices are a natural way to think about dynamic graphs, they are routinely
imposed on continuous data. Often, it is unclear how many timeslices to select:
too few timeslices can miss temporal features such as causality or even graph
structure while too many timeslices slows the drawing computation. We present a
model for dynamic graphs which is not based on timeslices, and a dynamic graph
drawing algorithm, DynNoSlice, to draw graphs in this model. In our evaluation,
we demonstrate the advantages of this approach over timeslicing on continuous
data sets.
