We hear from the ECLT network
Many systems in nature and in human activities can be represented as networks of interacting units that can exchange matter or information. This modelization, combined with techniques from graph theory, statistical physics and data analysis, has led to important results and insights in numerous fields. In some interesting cases, however, the edges are not continuously active so that, like network topology, the temporal structure of edge activations can affect the behavior of a dynamic process occurring on the network. We will review the recent field of time evolving networks and discuss some recent applications to epidemic modelling and contact tracing dynamics.
Raffaella Burioni is an Associate Professor of Theoretical Condensed Matter Physics in the Department of Mathematics, Physics and Computer Science at the University of Parma. She received her Master degree in Physics from the II University of Rome, a Ph.D. in Theoretical Physics from Sapienza University in Rome and she was a postdoctoral fellow at the Laboratoire de Physique Théorique of the Ecole Normale Supérieure in Paris and at the Department of Physics of the University of Milan. With her group of Statistical Physics of Complex Systems she studies dynamical processes on graphs, in complex environments and on networks, to understand how the network structure and the dynamics of interactions influence processes like diffusion, transport and synchronisation, in natural and man-made systems.