  Inferring plausible node mobility based only on information from wireless
contact traces is a difficult problem. Working with mobility information allows
richer protocol simulations, particularly in dense networks, but requires
complex set-ups to measure. On the other hand, contact information is easier to
measure but only allows for simplistic simulation models. In a contact trace a
lot of node movement information is irretrievably lost so the original
positions and velocities are in general out of reach. In this paper, we propose
a fast heuristic algorithm, inspired by dynamic force-based graph drawing,
capable of inferring a plausible movement from any contact trace, and evaluate
it on both synthetic and real-life contact traces. Our results reveal that (i)
the quality of the inferred mobility is directly linked to the precision of the
measured contact trace, and (ii) the simple addition of appropriate
anticipation forces between nodes leads to an accurate inferred mobility.
