MergeToCure: a New Strategy to Allocate Cure in an Epidemic over a Grid-like network Using a Scale-Free Abstraction - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2018

MergeToCure: a New Strategy to Allocate Cure in an Epidemic over a Grid-like network Using a Scale-Free Abstraction

Nicolas Martin
  • Function : Author
  • PersonId : 1031004
Paolo Frasca

Abstract

In the context of epidemic spreading over a network the problem of allocating a limited number of cure to curb the spreading is often discussed. While strategies exist for heterogeneous networks as scale-free networks (networks with a power-law degree distribution), we introduce here a new strategy for homogeneous networks as grid-like networks. To do so we use a scale-free abstraction of the network allowing to identify the most interesting zones to cure. Moreover we present a theoretical result linking the scale-free coefficient and the efficiency of the strategy of allocation in scale-free networks.
Fichier principal
Vignette du fichier
MergeToCureV2.pdf (952.77 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01820672 , version 1 (22-06-2018)

Identifiers

Cite

Nicolas Martin, Paolo Frasca, Carlos Canudas de Wit. MergeToCure: a New Strategy to Allocate Cure in an Epidemic over a Grid-like network Using a Scale-Free Abstraction. NecSys 2018 - 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Aug 2018, Groningen, Netherlands. pp.34-39, ⟨10.1016/j.ifacol.2018.12.007⟩. ⟨hal-01820672⟩
145 View
101 Download

Altmetric

Share

More