3 papers
math.ST2026
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…
cs.SI2026
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…
physics.soc-ph2026
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…