most citedMaximum entropy modeling of Optimal Transport: the sub-optimality regime and the transition from dense to sparse networks

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2026

Beyond the Wisdom of the Crowd: How Network Topology Distorts Collective Perception

Giovanni Palermo, Vittorio Loreto, Giulio Cimini

Cognitive biases are often attributed to heuristics or limited information. Yet the structure of social networks is a key, often-overlooked source of perceptual bias. When informat…

physics.soc-ph2025

Polarization and echo chambers in Reddit's political discourse

Daniele Cirulli, Antonio Desiderio, Giulio Cimini +1

Political debate nowadays takes place mainly on online social media, with election periods amplifying ideological engagement. Reddit is generally considered more resistant to polar…

cond-mat.stat-mech2025

Geometric Criticality in Scale-Invariant Networks

Lorenzo Lucarini, Giulio Cimini, Pablo Villegas

Dimension in physical systems determines universal properties at criticality. Yet, the impact of structural perturbations on dimensionality remains largely unexplored. Here, we cha…

cs.CL2025

How Large Language Models play humans in online conversations: a simulated study of the 2016 US politics on Reddit

Daniele Cirulli, Giulio Cimini, Giovanni Palermo

Large Language Models (LLMs) have recently emerged as powerful tools for natural language generation, with applications spanning from content creation to social simulations. Their…

physics.soc-ph2025

Evolution and determinants of firm-level systemic risk in local production networks

Anna Mancini, Balázs Lengyel, Riccardo Di Clemente +1

Recent crises like the Covid-19 pandemic and geopolitical tensions have exposed vulnerabilities and caused disruptions of supply chains, leading to product shortages, increased cos…

cond-mat.stat-mech2025★ 2 cited

Maximum entropy modeling of Optimal Transport: the sub-optimality regime and the transition from dense to sparse networks

Lorenzo Buffa, Dario Mazzilli, Riccardo Piombo +3

We present a bipartite network model that captures intermediate stages of optimization by blending the Maximum Entropy approach with Optimal Transport. In this framework, the netwo…