Many real-world complex systems consist of a set of elementary units connected by relationships of different kinds. All such systems are better described in terms of multiplex networks, where the links at each layer represent a different type of interaction between the same set of nodes, rather than in terms of (single-layer) networks. In this talk I will introduce multiplex networks and several metrics to measure multiplexity at different scales. Measures are validated and applied to real-world systems with examples from collaboration networks, terrorist networks and the brain. I will also show how multiplexity can produce the emergence of qualitatively novel dynamical behavior, focusing on the case of social dynamics.
I work in the Complex Systems and Networks group at Queen Mary University of London under the supervision of Vito Latora. I am currently based in Paris for an extended scientific visit at the AramisLab at the Brain & Spine Institute. My expertise is in the field of multiplex/multilayer networks, and I am interested in the analysis of 'human systems' (socio, economic, urban, neuro). I previously earned my degrees at Sapienza University of Rome.