Analyzing heterogeneous spreading dynamics

People involved:
Liubov Tupikina
Marc Santolini
Aurelie de Faure
Gael Simon

Keywords: spreading, diffusion, heterogeneity, attributes, networks, epidemics, information

Project description

The theoretical part of the project is analysis of spreading dynamics on heterogeneous networks. Why heterogeneous? Because most of the real world networks are intrinsically heterogeneous: transportation networks with different width, biological fractal network of human lungs etc. The main question is how to characterize the influence of the heterogeneity on the transportation phenomena. This includes designing the network indicators for characterizing complex dynamics, developing the fundamental framework applicable for disease spreading processes. In this project we are working on designing and testing heterogeneous epidemics spreading models inspired by the real data.
The practical aspect of this project is then to dissect the influence of the heterogeneity from the other factors and to incorporate physical, epidemiological and socio-economic mechanisms into the heterogeneous spreading models. The most existing part of the project is actually implementation of the indicators to such complex models in order to detect the localisation of epidemics spreading and to identify influential spreaders even in the heterogeneous setup. For more information about the networks please visit  here.