  In this work we investigate time varying networks with complex dynamics at
the nodes. We consider two scenarios of network change in an interval of time:
first, we have the case where each link can change with probability pt, i.e.
the network changes occur locally and independently at each node. Secondly we
consider the case where the entire connectivity matrix changes with probability
pt, i.e. the change is global. We show that network changes, occurring both
locally and globally, yield an enhanced range of synchronization. When the
connections are changed slowly (i.e. pt is low) the nodes display nearly
synchronized intervals interrupted by intermittent unsynchronized chaotic
bursts. However when the connections are switched quickly (i.e. pt is large),
the intermittent behavior quickly settles down to a steady synchronized state.
Furthermore we find that the mean time taken to reach synchronization from
generic random initial states is significantly reduced when the underlying
links change more rapidly. We also analyze the probabilistic dynamics of the
system with changing connectivity and the stable synchronized range thus
obtained is in broad agreement with those observed numerically.
