1 citations · 1 across the 5 of their papers we have counts for
7 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…
Analysis of a maximum-entropy based estimator for dynamic random graph models
Diego Garlaschelli, Michel Mandjes, Frank P. Pijpers +1
We study dynamic random graphs in which the set of nodes is fixed, but edges evolve over time according to an underlying stochastic mechanism. Using a maximum-entropy approach, we…
Twitter climate discourse as a signal of pro-environmental behaviors
Edoardo Maggioni, Diego Garlaschelli, Rossana Mastrandrea +1
Fostering coordinated pro-environmental behaviors at scale is a key challenge for climate mitigation. Individual actions only generate meaningful impact when they diffuse widely an…
Network Reconstruction via Jeffreys Prior under Missing Sufficient Statistics
Minh Duc Duong, Diego Garlaschelli
The modeling and reconstruction of economic networks from aggregate information has important implications for counterfactual analysis and policymaking. The traditional Fitness Mod…
Spectral signatures of structural change in financial networks
Valentina Macchiati, Emiliano Marchese, Piero Mazzarisi +2
The level of systemic risk in economic and financial systems is strongly determined by the structure of the underlying networks of interdependent entities that can propagate shocks…
Interbank network reconstruction enforcing density and reciprocity
Valentina Macchiati, Piero Mazzarisi, Diego Garlaschelli
Networks of financial exposures are the key propagators of risk and distress among banks, but their empirical structure is not publicly available because of confidentiality. This l…