Self-Similarity of Network Data Analysis

In computer networks, self-similarity is a feature of network data transfer dynamics. When modeling network data dynamics the traditional time series models, such as an autoregressive moving average model are not appropriate.

Source: Wikipedia — Self-Similarity of Network Data Analysis (CC BY-SA 4.0)