activity
20242026
collaborators

9 papers

cs.SI2026

Direct and Indirect Influence on Likes in Social Media

Ivan Kozitsin, Anton V. Proskurnikov

The present study investigates direct and indirect social contagion mechanisms in an online social network environment. Using a large-scale dataset comprising approximately 290,000…

cs.LG2025

Tackling Heterogeneity in Federated Learning via Variance-Reduced Boltzmann Sampling within Homogeneous Social Coalitions

Alessandro Licciardi, Roberta Raineri, Anton Proskurnikov +2

Federated Learning (FL) enables privacy-preserving collaborative model training, but its effectiveness is often limited by client data heterogeneity. We introduce a client-selectio…

q-fin.RM2025

Default Resilience and Worst-Case Effects in Financial Networks

Giuseppe Calafiore, Giulia Fracastoro, Anton Proskurnikov

In this paper we analyze the resilience of a network of banks to joint price fluctuations of the external assets in which they have shared exposures, and evaluate the worst-case ef…

eess.SY2025

Continuous-Time Distributed Learning for Collective Wisdom Maximization

Luka Baković, Giacomo Como, Fabio Fagnani +2

Motivated by the well established idea that collective wisdom is greater than that of an individual, we propose a novel learning dynamics as a sort of companion to the Abelson mode…

cs.CE2025

Imitation and Heterogeneity Shape the Resilience of Community Currency Networks

Camilla Ancona, Dora Ricci, Carmela Bernardo +3

Community currency networks are made up of individuals and or companies that share some physical or social characteristics and engage in economic transactions using a virtual curre…

math.OC2025

Wisdom of Crowds Through Myopic Self-Confidence Adaptation

Giacomo Como, Fabio Fagnani, Anton Proskurnikov

The wisdom of crowds is an umbrella term for phenomena suggesting that the collective judgment or decision of a large group can be more accurate than the individual judgments or de…