Scaling behavior upon the influence of time interval in temporal networks

Temporal network, emphasizing on the time when and how long a contact forms, has recently received great attention. The additional freedom of “time” not only increases the difficulty of theoretical analysis and computational simulation, but also changes the way we view the connectivity and spreading of complex networks. The topological structure of temporal network enters through aggregating the contacts within a certain time interval. Hence, time intervals have significant influence on topological features. In this paper, the factorial moment analyses are performed to study the scaling properties of dynamical fluctuations under different time windows. The goal is to uncover the influence of time intervals and corresponding correlations in temporal networks.