Complex Systems Scientist
Head of CoMuNe Lab, Bruno Kessler Foundation's Research Unit for Multilayer Modeling and Analysis of Complex Systems
Visiting Professor at Universitat Rovira i Virgili
Director of the Mediterranean School of Complex Networks
National Coordinator of the Italian Chapter of the Complex Systems Society
I am a physicist studying integrated real-world Complex Systems (biological, socio-technical, communication and economic networks) and their complex dynamics, to understand how multiplexity and interdependencies lead to emergent collective phenomena and resilience to perturbations.
>> COVID-19 Research >>
An interactive journey to discover why a system is complex |
A chapter about the math of multilayer networks |
Two chapters about structure and dynamics of multilayer networks |
Theoretical advance on the representation of complex networks for modeling empirical complex systems, identifying central/influential units and determine the underlying meso-scale organization.
Single and coupled dynamics on multilayer networks for modeling information/awareness propagation, complex contagion, epidemics spreading, consensus mechanisms. Our goal is to better understand robustness, resilience and emergence of collective phenomena in complex networked systems.
Information theory is intimately realted to statistical physics, playing a key role in data science and a variety of applications. We develop theoretical and analytical tools to quantify how complex networks produce and process information, to reduce their dimensionality.
Network geometry is rapidly gaining attention for providing a suitable framework for the analysis of interacting systems. We focus on the application of network diffusion maps to better understand the dynamics of spreading processes and to provide coarse-grained representation of networkd systems.
Multiscale and Integrative compleX Networks: EXperiments and Theories: a Satellite of CCS 2020
Complex information dynamics modeled in terms of an statistical information field.
Modeling of epidemics spreading and social dynamics to understand the risk of outbreaks in Turkey.
Quantifying the risks of an infodemic in 127 countries with big data science.
Multilayers and Beyond: a Satellite of NetSci 2020
Resources, references and explanations about COVID19
Monitor the misinformation risk worldwide
Our work on social integration of Syrian refugees in Turkey to decrease the risk for measles outbreak was awarded the 1st prize. A great collaboration with DPCS and MOBS research units at FBK.
