Quantifying the robustness of empirical networked complex systems

Power grids, trophic relations, online micro-blogging services or scientific collaborations: complex networks are ubiquitous in nature. In the research agenda of network science, network robustness has been a topic of paramount importance due to its conceptual, modelling challenges and its wide range of applications.

FBK virtual event

Via Sommarive, Povo

In this talk Oriol Artime Vila will review some of our latest research on this direction. He will show how to quantify robustness when networked systems are perturbed in two different scenarios. The first one considers metadata defined on the nodes, so metadata-informed attacks are performed in order to understand how to efficiently dismantle (or protect) a network. Thus, we shed light on the importance of non-toological information in network interventions. The second one focuses on the under-researched but empirically relevant phenomenon of non-local cascade spreading. In this, non-local cascading failures evolve on a network in a way that consecutive node failures need not to strictly follow a proximity-based evolution. We propose a mathematically solvable model of such a cascades and evaluate their accuracy in artificial and empirical topologies, finding an excellent agreement.

Bio of the speaker: Oriol Artime Vila is a postdoctoral researcher at CHuB Lab in FBK Digital Society Center. He holds a PhD in Physics from the Institute for Cross-Disciplinary Physics and Complex Systems (UIB-CSIC, Spain). His research interests lie at the interface between complexity science and network theory, and in the last years he has devoted a great deal of attention to problems related to the robustness of networked systems.
On-line connection at this Google Meet link

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