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

Nicolas Martin 1 Paolo Frasca 1 Carlos Canudas de Wit 1
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
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.
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Communication dans un congrès
NecSys, Aug 2018, Groningen, Netherlands. 51 (23), pp.34-39, 2018, IFAC-PapersOnLine
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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, Aug 2018, Groningen, Netherlands. 51 (23), pp.34-39, 2018, IFAC-PapersOnLine. 〈hal-01820672〉

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