At its core, network science helps to uncover the relationships between elements in a complex system. The application of this approach has been instrumental in the investigation of various systems as disparate as social networks, biological systems, communication arrays, and transportation networks. Likewise, the field of neuroscience benefits from using a network science approach to understand the brain. The brain represents a complex system that is inherently multiscale and multivariate, and comprises a hierarchy defined by interconnectedness linking brain structure, function and cognition. The use of various methods, from multimodal imaging techniques to model simulations, has lent to discoveries that uncover brain processes at the macroscale, mesoscale and microscale. More importantly, topics including network topology, network dynamics, control theory, and computational modelling, strongly complement traditional neuroscientific studies. With the study of the brain at various scales, Network Neuroscience has emerged as a field encompassing multiple disciplines.