activity
20092026
most citedOpinion fluctuations and disagreement in social networks

378 citations · 576 across the 50 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

math.OC2019

Systemic risk and network intervention

Luca Damonte, Giacomo Como, Fabio Fagnani

We consider a novel adversarial shock/protection problem for a class of network equilibria models emerging from a variety of different fields as continuous network games, productio…

cs.GT2019

Controlling network coordination games

Stephane Durand, Giacomo Como, Fabio Fagnani

We study a novel control problem in the context of network coordination games: the individuation of the smallest set of players capable of driving the system, globally, from one Na…

math.DS2019

Stability and phase transitions of dynamical flow networks with finite capacities

Leonardo Massai, Giacomo Como, Fabio Fagnani

We study deterministic continuous-time lossy dynamical flow networks with constant exogenous demands, fixed routing, and finite flow and buffer capacities. In the considered model,…

math.DS2019

Equilibria and Systemic Risk in Saturated Networks

Leonardo Massai, Giacomo Como, Fabio Fagnani

We undertake a fundamental study of network equilibria modeled as solutions of fixed point equations for monotone linear functions with saturation nonlinearities. The considered mo…

cs.GT2019

On games with coordinating and anti-coordinating agents

Martina Vanelli, Laura Arditti, Giacomo Como +1

This work studies Nash equilibria for games where a mixture of coordinating and anti-coordinating agents, with possibly heterogeneous thresholds, coexist and interact through an al…

cs.SI2019

On a Centrality Maximization Game

Maria Castaldo, Costanza Catalano, Giacomo Como +1

The Bonacich centrality is a well-known measure of the relative importance of nodes in a network. This notion is, for example, at the core of Google's PageRank algorithm. In this p…

eess.SY2019

Fast Spread in Controlled Evolutionary Dynamics

Lorenzo Zino, Giacomo Como, Fabio Fagnani

We study the spread of a novel state in a network, in the presence of an exogenous control. The considered controlled evolutionary dynamics is a non-homogeneous Markov process that…

eess.SY2019

Finite-time influence systems and the Wisdom of Crowd effect

Francesco Bullo, Fabio Fagnani, Barbara Franci

Recent contributions have studied how an influence system may affect the wisdom of crowd phenomenon. In the so-called naive learning setting, a crowd of individuals holds opinions…