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Lincoln

Learning Complex Networks

Local Coordinator:

+ Armando Bazzani- Armando Bazzani

E-Mail: armando.bazzani@bo.infn.it
Tel: +39-051-2091198
Site: Irnerio
Office: 159

The LINCOLN initiative considers a Statistical Mechanics approach to complex systems with applications to biological and social systems. In particular, we aim at developing techniques to exploit and control the properties of complex networks and the processes living on them. For instance one can make social and technological networks more robust and resilient and apply modern statistical techniques to the design and control of natural and artificial neural networks. The collaboration involves 6 INFN sections with complementary competences of Theoretical Physics and Dynamical Systems.

Picture Piazza San Marco Venice

The Bologna group is focused on statistical and dynamical properties of artificial and real neural networks, the interplay between social and information networks and resilience and controllability of neural and ecological networks. The applied methodologies are based on Dynamical Systems, Stochastic Processes and Complex Network Theory(ex. nonlinear random walks on graphs and dynamical systems coupled through a complex network structure). The main applications are to human mobility, transport models, and biochemical and neural networks.

Image on an application

Groups member

Postdoc

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PhD Students

Federico Capoani
Giulio Colombini
Federico Bellisardi