  Dynamic network data are now available in a wide range of contexts and
domains. Several representation formalisms exist to represent dynamic networks,
but there is no well-known method to choose one representation over another for
a given dataset. In this article, we propose a method based on data compression
to choose between three of the most important representations: snapshots, link
streams and interval graphs. We apply the method on synthetic and real datasets
to show the relevance of the method and its possible applications, such as
choosing an appropriate representation when confronted to a new dataset, and
storing dynamic networks in an efficient manner.
