Deterministic scale-free network

A scale-free network is a type of networks that is of particular interest of network science. It is characterized by its degree distribution following a power law. While the most widely known generative models for scale-free networks are stochastic, such as the Barabási–Albert model or the Fitness model can reproduce many properties of real-life networks by assuming preferential attachment and incremental growth, the understanding of deterministic scale-free networks leads to valuable, analytical results.