1 citations · 1 across the 3 of their papers we have counts for
5 papers
Multiscale Renormalization of Weighted Networks
Mattia Marzi, Frank P. Pijpers, Diego Garlaschelli
Recent progress in network renormalization has identified various ways to transform network representations consistently across resolution levels. In particular, the renormalizatio…
Multiscale Reconstruction of Weighted Networks from Coarse-Grained Data
Mattia Marzi, Frank P. Pijpers, Diego Garlaschelli
Network reconstruction from partial information is usually performed at the same resolution level at which constraints are observable. This becomes problematic when only coarse-gra…
A Bayesian approach to out-of-sample network reconstruction
Mattia Marzi, Tiziano Squartini
Networks underpin systems that range from finance to biology, yet their structure is often only partially observed. Current reconstruction methods typically fit the parameters of a…
The hidden structure of innovation networks
Lorenzo Emer, Anna Gallo, Mattia Marzi +3
Innovation emerges from complex collaboration patterns - among inventors, firms, or institutions. However, not much is known about the overall mesoscopic structure around which inv…
Reproducing the first and second moments of empirical degree distributions
Mattia Marzi, Francesca Giuffrida, Diego Garlaschelli +1
The study of probabilistic models for the analysis of complex networks represents a flourishing research field. Among the former, Exponential Random Graphs (ERGs) have gained incre…