Starts 9 Aug 2018 11:00
Ends 9 Aug 2018 12:00
Central European Time
Leonardo Building - Luigi Stasi Seminar Room
Complex networks describe the architecture of complex systems ranging from the brain to social networks.
Recently it has become clear that in order to understand network data it is important characterize network structures with advanced topological and geometrical approaches.
Here we discuss a model for emergent hyperbolic geometry called 'Network Geometry with Flavor' that describes complex growing simplicial complexes and extend previous modelling framework on growing complex networks. We will present the holographic properties of this model and its intrinsic complex network structure.
Finally we will discuss the mapping between the Network Geometry with Flavor and Tree Tensor Networks and we will comment on the open recent questions that this mapping raises for modelling Complex Quantum Networks.