Claremont Center for the Mathematical Sciences

The technological revolution we witnessed over the last decade has resulted in social and technological networks that have detailed structured in multiple and inter operating scales.Examples are provided by the Internet, the social Web, the new WiFi communication technologies and transportation and mobility infrastructures. Understanding the interactions between the technological constraints and the social interactions that mutually compete to guide the development of the network is one of the challenges that we must face.

We will review the central statistical features of these networks , the impact that they have on dynamical, epidemic and spreading processes. We will introduce the Global Epidemic and Mobility Modeler (GLEaM) as an example of the use of technological and social networks in the development of realistic numerical models with direct application on the prediction and forecasting of an unfolding epidemic.