Multiplex and Multilevel Networks
Edited by Stefano Battiston, Guido Caldarelli, and Antonios Garas
Author Information
Edited by Stefano Battiston, Professor, Department of Banking and Finance, University of Zurich, Switzerland, Guido Caldarelli, Full Professor of Physics, IMT Institute for Advanced Studies Lucca, Italy, and Antonios Garas, Senior Researcher, Chair of Systems Design, ETH Zurich, Switzerland
Stefano Battiston is SNF Professor at the Department of Banking and Finance of the University of Zurich. He holds a PhD in Statistical Physics from École Normale Supérieure, Paris. His work applies the complex networks approach both to the empirical analysis of economic networks and the modelling of their dynamics. For several years, his main interests have been financial contagion, default cascades, and propagation of financial distress, where he combines the insights from the statistical mechanics of networks with the analysis of economic incentives. He has been involved in many international projects, including Forecasting Financial Crises, the first European project aimed at anticipating structural instabilities in the global financial networks.
Guido Cadarelli studied Statistical Physics and currently works in the field of Complex Networks. He received his undergraduate degree in 1992 in Rome (La Sapienza) and his PhD in 1996 in Trieste (SISSA). After completing postdocs in Manchester and Cambridge he became firstly "Research Assistant" in INFM and secondly "Primo Ricercatore" at ISC-CNR where he still works as visiting researcher. Presently he is Full Professor of Physics at IMT Lucca and a LIMS Fellow. Since 2015, he has been the Vice-President of the Complex Systems Society. Since 2016, he has been on the board of the SNP Division of European Physical Society.
Antonios Garas obtained a PhD in Physics and a Master's degree in Computational Physics from the Aristotle University of Thessaloniki, and is currently a senior researcher at the Chair of Systems Design at ETH Zurich. Having a background in physics with a strong computational training, he has always been interested in pursuing interdisciplinary research. His research combines methods from statistical physics and graph theory, aiming to understand how the properties of a complex system are influenced by the way the systems's components are linked to each other. Using data-driven modeling and state of the art data-mining techniques, he explores applications of his methodology in Economics, Finance, Physics and Sociology.
Contributors:
Alex Arenas, Rovira i Virgili University
Panos Argyrakis, University of Thessaloniki
Paul Balister, University of Memphis
Alain Barrat, University of Toulon
Béla Bollobás, University of Cambridge
Guido Caldarelli, IMT School for Advanced Studies Lucca
Ciro Cattuto, ISI Foundation
Manlio De Domenico, Rovira i Virgili University
Albert Diaz-Guilera, University of Barcelona
Santo Fortunato, Indiana University
Antonios Garas, ETH Zurich
Sergio Gomez, Rovira i Virgili University
Miha Grcar, Jozef Stefan Institute Ljubljana
Hang-Hyun Jo, Pohang University of Science and Technology
Michael Kanetidis, University of Thessaloniki
Kimmo Kaski, Aalto University
Janos Kertesz, Center for Network Science
Nikos E. Kouvaris, University of Namur
Dmitri Krioukov, Northeastern University
Marija Mitrovic Dankulov, University of Belgrade
Igor Mozetic, Jozef Stefan Institute Ljubljana
Yohsuke Muraze, RIKEN Center for Computational Science
Bhargav Narayanan, University of Cambridge
Elisa Omodei, Rovira i Virgili University
Celine Rozenblat, University of Lausanne
Frank Schweitzer, ETH Zurich
Borut Sluban, Jozef Stefan Institute Ljubljana
Jasmina Smailovic, Jozef Stefan Institute Ljubljana
Albert Sole-Ribalta, Open University of Catalonia
Janos Torok, Center for Network Science
Maria Tsouchnika, University of Thessaloniki
