195 citations · 872 across the 35 of their papers we have counts for
59 papers
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…
Network Renormalization
Andrea Gabrielli, Diego Garlaschelli, Subodh P. Patil +1
The renormalization group (RG) is a powerful theoretical framework developed to consistently transform the description of configurations of systems with many degrees of freedom, al…
Inferring firm-level supply chain networks with realistic systemic risk from industry sector-level data
Massimiliano Fessina, Giulio Cimini, Tiziano Squartini +3
Production networks constitute the backbone of every economic system. They are inherently fragile as several recent crises clearly highlighted. Estimating the system-wide consequen…
Patterns of link reciprocity in directed, signed networks
Anna Gallo, Fabio Saracco, Renaud Lambiotte +2
Most of the analyses concerning signed networks have focused on the balance theory, hence identifying frustration with undirected, triadic motifs having an odd number of negative e…
Assessing frustration in real-world signed networks: a statistical theory of balance
Anna Gallo, Diego Garlaschelli, Tiziano Squartini
According to the so-called strong version of structural balance theory, actors in signed social networks avoid establishing triads with an odd number of negative links. Generalisin…
Geometry-free renormalization of directed networks: scale-invariance and reciprocity
Margherita Lalli, Diego Garlaschelli
Recent research has tried to extend the concept of renormalization, which is naturally defined for geometric objects, to more general networks with arbitrary topology. The current…