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Future advancements in ICT domain are closely linked to the understanding about how multi-level complex systems function. Indeed, multi-level dependencies may amplify cascade failures or make more sudden the collapse of the entire system. Recent large-scale blackouts resulting from cascades in the power-grid coupled to the control communication system witness this point very clearly. A better understanding of multi-level systems is essential for future ICT’s and for improving life quality and security in an increasingly interconnected and interdependent world. In this respect, complex networks science is particularly suitable for the many day-by-day challenges, from critical infrastructures and communication systems, to techno-social and socio-economic networks. Multiplex proposes a substantial paradigm shift for the development of a mathematical, computational and algorithmic framework for multi-level complex networks. Firstly, this will lead to a significant progress in the understanding and the prediction of complex multi-level systems. Secondly, it will enable a better control, and optimization of their dynamics. By combining mathematical analyses, modelling approaches and the use of massive heterogeneous data sets, the project shall address several prominent aspects of multi-level complex networks, i.e. their topology, dynamical organization and evolution.

Partners

Jozef Stefan Institute

Ljubljana, Slovenia

Université de Lausanne

Lausanne, Switzerland

Aristotelio Panepistimio Thessalonikis

Thessalonikis, Greece

Ruder Boskovic Institute

Zagreb, Croatia

Aalto University

Helsinki, Finland

CNRS

Paris, France

Paderborn University

Paderborn, Germany

Bar-Ilan University

Ramat Gan,

Università La Sapienza

Rome, Italy

IMT Alti Studi Lucca

Lucca, Italy

Universidade de Aveiro

Aveiro, Portugal

Universitat Rovira I Virgili

Terragona, Spain

London Institute for Mathematical Sciences

London, United Kingdom

Central European University

Budapest, Hungary

Consiglio Nazionale delle Ricerche

Italy

Computer Technology Institute & Press Diophantus

Patras, Greece

University of Zaragoza

Zaragosa, Spain

University of Warsaw,

Warsaw, Poland

University of Vienna

Vienna, Austria

ETH

Zurich, Switzerland