  We introduce a time-varying network model accounting for burstiness and tie
reinforcement observed in social networks. The analytical solution indicates a
non-trivial phase diagram determined by the competition of the leading terms of
the two processes. We test our results against numerical simulations, and
compare the analytical predictions with an empirical dataset finding good
agreements between them. The presented framework can be used to classify the
dynamical features of real social networks and to gather new insights about the
effects of social dynamics on ongoing spreading processes.
