5 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…
Description length of canonical and microcanonical models
Francesca Giuffrida, Tiziano Squartini, Peter Grünwald +1
The (non-)equivalence of canonical and microcanonical ensembles is a fundamental question in statistical physics, concerning whether the use of soft and hard constraints in the max…
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…
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…
Inhomogeneous random graphs with infinite-mean fitness variables
Luca Avena, Diego Garlaschelli, Rajat Subhra Hazra +1
We consider an inhomogeneous ErdÅs-Rényi random graph ensemble with exponentially decaying random disconnection probabilities determined by an i.i.d. field of variables with heav…