activity
20212026
most citedReconciling econometrics with continuous maximum-entropy network models

3 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Comparing Explanations is Not Enough, Explain the Change: New Standards are Needed to Explain Behavioral Shifts in Large Language Models

Martino Ciaperoni, Marzio Di Vece, Roberto Pellungrini +3

Large-scale foundation models exhibit behavioral shifts when subjected to interventions such as scaling, fine-tuning, reinforcement learning with human feedback, or in-context lear…

physics.soc-ph2025

Assessing imbalance in signed brain networks

Marzio Di Vece, Emanuele Agrimi, Samuele Tatullo +3

Many complex systems - be they financial, natural, or social - are composed of units - such as stocks, neurons, or agents - whose joint activity can be represented as a multivariat…

physics.soc-ph2023

Commodity-specific triads in the Dutch inter-industry production network

Marzio Di Vece, Frank P. Pijpers, Diego Garlaschelli

Triadic motifs are the smallest building blocks of higher-order interactions in complex networks and can be detected as over-occurrences with respect to null models with only pair-…

physics.soc-ph2023★ 1 cited

Deterministic, quenched and annealed parameter estimation for heterogeneous network models

Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini

At least two, different approaches to define and solve statistical models for the analysis of economic systems exist: the typical, econometric one, interpreting the Gravity Model s…

physics.soc-ph2022★ 3 cited

Reconciling econometrics with continuous maximum-entropy network models

Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini

In the study of economic networks, econometric approaches interpret the traditional Gravity Model specification as the expected link weight coming from a probability distribution w…

physics.soc-ph2021★ 1 cited

Gravity models of networks: integrating maximum-entropy and econometric approaches

Marzio Di Vece, Diego Garlaschelli, Tiziano Squartini

The World Trade Web (WTW) is the network of international trade relationships among world countries. Characterizing both the local link weights (observed trade volumes) and the glo…