  The factorial moments analyses are performed to study the scaling properties
of the dynamical fluctuations of contacts and nodes in temporal networks based
on empirical data sets. The intermittent behaviors are observed in the
fluctuations for all orders of the moments. It indicates that the interaction
has self-similarity structure in time interval and the fluctuations are not
purely random but dynamical and correlated. The scaling exponents for contacts
in Prostitution data and nodes in Conference data are very close to that for 2D
Ising model undergoing a second-order phase transition.
