1 citations · 2 across the 16 of their papers we have counts for
12 papers · 1 filter
Optimal Control of Behavioral-Feedback SIR Epidemic Model
Martina Alutto, Leonardo Cianfanelli, Giacomo Como +2
We consider a behavioral-feedback SIR epidemic model, in which the infection rate depends in feedback on the fractions of susceptible and infected agents. Contrary to the classic S…
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…
Behavioral-feedback SIR epidemic model: analysis and control
Martina Alutto, Leonardo Cianfanelli, Giacomo Como +2
This paper investigates a behavioral-feedback SIR model in which the infection rate adapts dynamically based on the fractions of susceptible and infected individuals. We introduce…
On Optimality of Private Information in Bayesian Routing Games
Alexia Ambrogio, Leonardo Cianfanelli, Giacomo Como
We study an information design problem in transportation networks, in the presence of a random state that affects the travel times on the links. An omniscient system planner -- aim…
Optimal interventions in opinion dynamics on large-scale, time-varying, random networks
Leonardo Cianfanelli, Giacomo Como, Fabio Fagnani +2
We consider two optimization problems in which a planner aims to influence the average transient opinion in the Friedkin-Johnsen dynamics on a network by intervening on the agents'…
Network Behavioral-Feedback SIR Epidemic Model
Martina Alutto, Leonardo Cianfanelli, Giacomo Como +1
We propose a network behavioral-feedback Susceptible-Infected-Recovered (SIR) epidemic model in which the interaction matrix describing the infection rates across subpopulations de…
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…
Controlling a Social Network of Individuals with Coevolving Actions and Opinions
Roberta Raineri, Mengbin Ye, Lorenzo Zino
In this paper, we consider a population of individuals who have actions and opinions, which coevolve, mutually influencing one another on a complex network structure. In particular…
On Signed Network Games with Binary Actions
Martina Vanelli, Laura Arditti, Giacomo Como +1
We study binary-action pairwise-separable graphical games that encompass both coordination and anti-coordination network games. Our model is grounded in an underlying directed sign…
How competitive are pay-as-bid auction games?
Martina Vanelli, Giacomo Como, Fabio Fagnani
We study the pay-as-bid auction game, a supply function model with discriminatory pricing and asymmetric firms. In this game, strategies are non-decreasing supply functions relatin…
Optimal selection of the most informative nodes for a noisy DeGroot model with stubborn agents
Roberta Raineri, Giacomo Como, Fabio Fagnani
Finding the optimal subset of individuals to observe in order to obtain the best estimate of the average opinion of a society is a crucial problem in a wide range of applications,…
Equilibria in Network Constrained Markets with System Operator
Giacomo Como, Fabio Fagnani, Leonardo Massai +1
We study a networked economic system composed of producers supplying a single homogeneous good to a number of geographically separated markets and of a centralized authority, c…