Network research gives strong access to the entire human brain organisation. It was applied to characterise the brain communication patterns in combination with graph theory. Multiple sclerosis (MS) offers new insights into pathological processes within grey and white matter. It analyses brain networks derived from structural or functional imaging. In addition to focal lesions and diffuse tissue damage, network connectivity patterns may be significant in close monitoring and disease prediction. This study explains the graphical theory principles, highlights new issues related to acute and chronic tissue reorganisation, and discusses network analysis in MS patients. We also describe functional and structural communication trends observed in MS from disconnection and disturbance to modification and compensation. Also, based on current literature, we link network change and its connection to clinical incapacity. Finally, we explore the network science perspective in MS for future research and postulate its position in the clinical environment.