  Temporal social networks are characterized by {heterogeneous} duration of
contacts, which can either follow a power-law distribution, such as in
face-to-face interactions, or a Weibull distribution, such as in mobile-phone
communication. Here we model the dynamics of face-to-face interaction and
mobile phone communication by a reinforcement dynamics, which explains the data
observed in these different types of social interactions. We quantify the
information encoded in the dynamics of these networks by the entropy of
temporal networks. Finally, we show evidence that human dynamics is able to
modulate the information present in social network dynamics when it follows
circadian rhythms and when it is interfacing with a new technology such as the
mobile-phone communication technology.
