Federico Battiston
Federico Battiston
Address: Center for Network Science
Central European University
Nador u. 11, 1051
Budapest, Hungary
Email: battistonf (at) ceu.edu
Twitter: @fede7j

I am a PostDoctoral researcher at the Center for Network Science at Central European University in Budapest, working with Roberta Sinatra and Laszlo Barabasi on characterizing the evolution of interdisciplinary research and its implication for success. I was previously based at the Department of Anthropology at University College London and at the Brain and Spine Institute in Paris as a CNRS researcher working on applications of network science respectively to hunter-gatherer populations and neuroscience. Before that I received a PhD from the School of Mathematical Sciences of Queen Mary University of London, where I was part of the Complex Systems and Networks Group working under the supervision of Vito Latora and a member of the EU-FP7 project LASAGNE on the structure and dynamics of multilayer networks.

I am an elected member of the council of the Complex Systems Society, and was previously an advisory board member and Chair of the Young Complex Systems Society. I am also a former student of the Complex Systems Summer School in Santa Fe. My research interests include network theory, complex systems, statistical physics and non-linear dynamics, and their applications to interdisciplinary topics, in particular human behavior, socioeconomic systems, and the brain.

My expertise is in the field of multilayer/multiplex networks. My work embraces both the structure and dynamics of such systems, at a theoretical and applied level. My work on such topic includes one of the very first papers on the subject, a minireview on their structural properties and an open-source software library for their analysis. With regard to the structure, I worked on generalizing the notions of degree and edge distributions, clustering, motifs, communities and core-periphery structure. With reference to the dynamics, I dealt with a number of different processes, such as random walks, opinion dynamics, cultural dynamics and evolutionary game theory. I have recently been working on applications of network theory to neuroscience (studying the interplay between structural and functional brain networks), social (characterizing large-scale collaboration patterns and hunter-gatherer populations) and economic systems (economic complexity and the world trade web). I am very interested in data-driven projects with collaborators from different backgrounds. For a summary of my works, you can have a look at my Google Scholar profile.

I first got interested in complex networks because of the great book "Nexus" by Mark Buchanan and some interesting lectures by Vittorio Loreto in Roma, where I also carried out a thesis on economic complexity in the group of Luciano Pietronero. I hold a degree in Physics and a Master in Theoretical Physics (with focus on statistical mechanics) both from Sapienza University of Rome. I previously earned my High School Diploma again in Rome at Liceo T. Tasso and spent a semester at Napa High School, CA, USA as an exchange student.

This page is maintained by Federico Battiston. Last update on 1 Oct 2017.