3 papers
cond-mat.stat-mech2025
Renormalization of Interacting Random Graph Models
Alessio Catanzaro, Diego Garlaschelli, Subodh P. Patil
Random graphs offer a useful mathematical representation of a variety of real world complex networks. Exponential random graphs, for example, are particularly suited towards genera…
stat.ME2025
Testing maximum entropy models with e-values
Francesca Giuffrida, Diego Garlaschelli, Peter Grünwald
E-values have recently emerged as a robust and flexible alternative to p-values for hypothesis testing, especially under optional continuation, i.e., when additional data from furt…
math.PR2025
Voter model on heterogeneous directed networks
Luca Avena, Federico Capannoli, Diego Garlaschelli +1
We investigate the consensus dynamics of the voter model on large random graphs with heterogeneous and directed features, focusing in particular on networks with power-law degree d…