Thread: Network tutorial An overview of complex networks, with a focus on applications to neuroscience Introduction An introduction to networks The degree distribution of a network Random networks One of the simplest types of networks Random networks The absurd high dimensionality of random graphs Evidence for additional structure in real networks Network types Small world networks Scale-free networks Generating networks with a desired degree distribution Generating networks with a desired second order motif frequency Synchronization and correlations in networks Connecting network structure to dynamical properties The master stability function approach to determine the synchronizability of a network The stability of the asynchronous state as function of largest eigenvalue The influence of network structure on correlations