Speaker: Giovanni Petri, Institute for Scientific Interchange (ISI)

Title: Computational Topology for Complex Networks

Date: 05/15/2014

Time: 1pm

Room: Informatics West 107

Abstract: Topological methods for data analysis have recently attracted large attention due to their capacity to capture mesoscopic features which are lost under standard network technique.

In the first part of this talk I will present an application of a recent method from computational topology, persistent homology, to the characterization of spatial patterns in a mobile phone activity of Milan, with particular reference to national communities within the city’s fabric. We then show how persistent homology can be extended to the case of weighted networks and present a particular application to fMRI data of patients in different states of consciousness.