Influential spreaders for recurrent epidemics on networks
Gaël Poux-Médard, Romualdo Pastor‐Satorras, Claudio Castellano
Abstract
This paper investigates how the duration and extent of a recurrent epidemic started from a given node in a network depend on the position of the node in the structure. An analytical approach provides detailed predictions in good agreement with numerical simulations except close to the epidemic threshold. Degree centrality is the main indicator of which are influential spreaders.
Topics & Concepts
Statistical physicsCentralityObservableNode (physics)Identification (biology)Computer scienceDegree (music)Epidemic modelPower lawSupercritical fluidPhysicsMathematicsStatisticsQuantum mechanicsBotanySociologyAcousticsPopulationThermodynamicsDemographyBiologyComplex Network Analysis TechniquesOpinion Dynamics and Social InfluenceMathematical and Theoretical Epidemiology and Ecology Models