Research areas
We work in five broad areas, all bridged by complex-network theory, data science, and the empirical measurement of large-scale communication systems.
Complex Systems
We study complex networks via k-core decomposition and community detection. Graph theory and propagation models applied to biological, social and technological networks.
Data Science
Large-scale analysis of Twitter traces, electoral data, and Call Detail Records (CDR). We infer human mobility, content demand, and online community dynamics.
Internet
Internet tomography and topology modelling (BGP, IXPs, AS-level). We design routing protocols whose tables grow sub-linearly with network size.
Network traffic
Statistical self-similar characterization of residential traffic. Continuous low-load probing for QoS assessment and IXP/CDN traffic detection.
Ad-hoc networks
Routing protocols for infrastructure-less wireless networks. We developed ANTop (bio-inspired algorithm) and evaluated it on the QUENAS simulator.