A sound theory for analysing the complex behaviour of dynamic networks
Networks permeate virtually all areas of science and technology, from the internet to social networks and the genetic networks that determine our existence. The aim of the EU-funded DYNASNET project is to engage leading experts in network science and graph theory to build a mathematically sound theory of dynamic networks. The aim is to better analyse, predict and control the behaviour of real networks. Both network science and graph theory have achieved notable progress over the past decade: network science has offered a data-based topological approach for modelling complex networks. The project's work could rewrite our understanding of complex systems, with applications in a wide array of fields.