378 citations · 576 across the 50 of their papers we have counts for
61 papers
Intervention problems in the Linear Threshold Model: A general formulation and new results
Giacomo Como, Fabio Fagnani, Stephane Durand
We study an optimal intervention problem for linear threshold models. This is a popular class of dynamical network systems whereby a number of agents, identified with the nodes of…
Pivot-and-Station Multi-Agent Path Finding: Solvability, Complexity, and Algorithms
Andrea Di Nezza, Mihir Patel, Fabio Fagnani +1
Automated high-density storage systems (warehouses, robotic parking, plant logistics, etc.) require fleets of agents to move through scarce task-critical resources and then park wi…
Optimal Interventions on the Linear Threshold Model in Large-Scale Networks
Leonardo Cianfanelli, Sebastiano Messina, Giacomo Como +1
We study an optimal intervention problem on the linear threshold model (LTM) in which a social planner aims to design minimal-cost interventions that modify the agents' thresholds,…
Rigidity and default in production networks
Giacomo Como, Fabio Fagnani, Elisa Luciano +2
This paper studies the transmission of productivity shocks in general equilibrium production networks, when firms in different sectors operate under informational rigidity and rely…
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…
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…
An invariance principle based concentration result for large-scale stochastic pairwise interaction network systems
Giacomo Como, Fabio Fagnani, Sandro Zampieri
We study stochastic pairwise interaction network systems whereby a finite population of agents, identified with the nodes of a graph, update their states in response to both indivi…
On the dynamic behavior of the network SIR epidemic model
Martina Alutto, Leonardo Cianfanelli, Giacomo Como +1
We study a susceptible-infected-recovered (SIR) epidemic model on a network of interacting subpopulations. We analyze the transient and asymptotic behavior of the infection dyn…
Nash equilibria of the pay-as-bid auction with K-Lipschitz supply functions
Martina Vanelli, Giacomo Como, Fabio Fagnani
We model a system of n asymmetric firms selling a homogeneous good in a common market through a pay-as-bid auction. Every producer chooses as its strategy a supply function returni…
On a Network Centrality Maximization Game
Costanza Catalano, Maria Castaldo, Giacomo Como +1
We study a network formation game where players, identified with the nodes of a directed graph to be formed, choose where to wire their outgoing links in order to maximize thei…
Targeting interventions for displacement minimization in opinion dynamics
Luca Damonte, Giacomo Como, Fabio Fagnani
Social influence is largely recognized as a key factor in opinion formation processes. Recently, the role of external forces in inducing opinion displacement and polarization in so…
Reaching optimal distributed estimation through myopic self-confidence adaptation
Giacomo Como, Fabio Fagnani, Anton V. Proskurnikov
Consider discrete-time linear distributed averaging dynamics, whereby agents in a network start with uncorrelated and unbiased noisy measurements of a common underlying parameter (…
Equilibria in Network Constrained Energy Markets
Leonardo Massai, Giacomo Como, Fabio Fagnani
We study an energy market composed of producers who compete to supply energy to different markets and want to maximize their profits. The energy market is modeled by a graph repres…
Equilibria and learning dynamics in mixed network coordination/anti-coordination games
Laura Arditti, Giacomo Como, Fabio Fagnani +1
Whilst network coordination games and network anti-coordination games have received a considerable amount of attention in the literature, network games with coexisting coordinating…
Robust Coordination of Linear Threshold Dynamics on Directed Weighted Networks
Laura Arditti, Giacomo Como, Fabio Fagnani +1
We study asynchronous dynamics in a network of interacting agents updating their binary states according to a time-varying threshold rule. Specifically, agents revise their state a…