The factorial moments analyses are performed to study the scaling properties of dynamical fluctuations in temporal networks based on empirical data sets. The intermittent behavior is not evident between normalized factorial moment Fq and bin number M over the whole time range. But the strict power-law dependence of Fq on F 2, , indicates that the interaction has self-similarity structure in time interval and the fluctuations are not purely random but dynamical and correlated. We further find that βq has a well-fitted power-law relationship with q - 1. The exponents are very close to that ...
