We address the difficult question of inferring plausible node mobility based
only on information from wireless contact traces. Working with mobility
information allows richer protocol simulations, particularly in dense networks,
but requires complex set-ups to measure, whereas 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.

Understanding transport capacity in intermittently connected mobile networks
(ICMN) is crucial since different applications have different interactivity and
bandwidth requirements. One practical issue is how to transform an
application's messages into packets suitable for transport over an ICMN. In
this paper, we propose a new Markovian model for random temporal graphs and
show, both analytically and by replaying a real life trace obtained in a
rollerblading tour, that the size of the messages sent over an ICMN has a
decisive impact on their delivery ratio.