CABDYN

Our aim is to define shared research questions and transferable and generalisable methods and techniques which will enable a better understanding of the dynamic and functional properties of network structures encountered in different contexts and disciplines. This involves the development of new statistical measures to characterize network structures and properties, so that the key features of incompletely mapped or noisy empirical networks can be summarized efficiently. At the same time, we aim to elucidate the fundamental properties of different classes of parsimonious models in which agents are linked by non-trivial networks. We hope that the combination of these two strands of research may provide a better understanding of how the microstates of a networked system map into the global system behaviour, how global network characteristics influence the microstates, and what role intermediate mesoscopic structures play. This should allow us to understand network dynamics at many..

Primary location: Oxford United Kingdom