activity
20142023
most citedIndividual based SIS models on (not so) dense large random networks

5 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

math.PR2023★ 5 cited

Individual based SIS models on (not so) dense large random networks

Jean-François Delmas, Paolo Frasca, Federica Garin +3

Starting from a stochastic individual-based description of an SIS epidemic spreading on a random network, we study the dynamics when the size of the network tends to infinity.…

math.PR2020

The Laplacian Spectrum of Large Graphs Sampled from Graphons

Renato Vizuete, Federica Garin, Paolo Frasca

This paper studies the Laplacian spectrum and the average effective resistance of (large) graphs that are sampled from graphons. Broadly speaking, our main finding is that the Lapl…

eess.SY2020

Graphon-based sensitivity analysis of SIS epidemics

Renato Vizuete, Paolo Frasca, Federica Garin

In this work, we use the spectral properties of graphons to study stability and sensitivity to noise of deterministic SIS epidemics over large networks. We consider the presence of…

math.OC2018★ 3 cited

Stability of Metabolic Networks via Linear-In-Flux-Expressions

Nathaniel J. Merrill, Zheming An, Sean T. McQuade +4

The methodology named LIFE (Linear-in-Flux-Expressions) was developed with the purpose of simulating and analyzing large metabolic systems. With LIFE, the number of model parameter…

math.OC2014

Optimal one-dimensional coverage by unreliable sensors

Paolo Frasca, Federica Garin, Balazs Gerencser +1

This paper regards the problem of optimally placing unreliable sensors in a one-dimensional environment. We assume that sensors can fail with a certain probability and we minimize…