About: Winning the competition: enhancing counter-contagion in SIS-like epidemic processes

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Winning the competition: enhancing counter-contagion in SIS-like epidemic processes
Creator	Kalogeratos, Argyris Mannelli, Stefano
Source	ArXiv
abstract	In this paper we consider the epidemic competition between two generic diffusion processes, where each competing side is represented by a different state of a stochastic process. For this setting, we present the Generalized Largest Reduction in Infectious Edges (gLRIE) dynamic resource allocation strategy to advantage the preferred state against the other. Motivated by social epidemics, we apply this method to a generic continuous-time SIS-like diffusion model where we allow for: i) arbitrary node transition rate functions that describe the dynamics of propagation depending on the network state, and ii) competition between the healthy (positive) and infected (negative) states, which are both diffusive at the same time, yet mutually exclusive on each node. Finally we use simulations to compare empirically the proposed gLRIE against competitive approaches from literature.
has issue date	2020-06-24(xsd:dateTime)
has license	arxiv
sha1sum (hex)	503bf089daa5a8174cf6bb5db6e5ba52da5c4824
resource representing a document's title	Winning the competition: enhancing counter-contagion in SIS-like epidemic processes
resource representing a document's body	covid:503bf089daa5a8174cf6bb5db6e5ba52da5c4824#body_text
is schema:about of	named entity 'DESCRIBE' named entity 'EPIDEMICS' named entity 'TIME' named entity 'LITERATURE' named entity 'TRANSITION' named entity 'WHERE' named entity 'diffusion' named entity 'transition rate' named entity 'mutually exclusive' named entity 'epidemic' named entity 'RAND' named entity 'non-linearity' named entity 'network structure' named entity '95% confidence interval' named entity 'social behavior' named entity 'Markovian' named entity 'graph' named entity 'non-linear' named entity 'diffusion' named entity 'peer-to-peer network' named entity 'non-linearity' named entity 'cost function' named entity 'resource allocation' named entity 'Gaussian' named entity 'Poisson process' named entity 'real-world' named entity 'resource allocation' named entity 'diffusion models' named entity 'diffusion' named entity 'transition rates' named entity 'socioeconomic' named entity 'resource allocation' named entity 'infection' named entity 'diffusion' named entity 'diffusion' named entity 'transition functions' named entity 'area under the curve' named entity 'diffusion processes' named entity 'social behaviors' named entity 'infection rate' named entity 'unhealthy diet' named entity 'diffusion' named entity 'eigenvalue' named entity 'epidemic model' named entity 'well-adapted' named entity 'absolute number' named entity 'diffusion models' named entity 'network structure' named entity 'viral marketing' named entity 'infection' named entity 'algorithm' named entity 'COVID-19 pandemic' named entity 'smoking cessation' named entity 'infection' named entity 'cost function' named entity 'spectral radius' named entity 'indicator function' named entity 'Spectral Radius' named entity 'EET' named entity 'continuous-time' named entity 'continuous-time Markov process' named entity 'non-linear' named entity 'mutual exclusivity' named entity 'diffusion' named entity 'greedy algorithm' named entity 'social sciences' named entity 'diffusion' named entity 'random graph' named entity 'transition rates' named entity 'graph' named entity 'self-loops' named entity 'nonlinearity' named entity 'diffusion' named entity 'diffusion' named entity 'resource allocation' named entity 'infection' named entity 'non-linearity' named entity 'state vector' named entity 'Markovian' named entity 'epidemiology' named entity 'alcohol consumption' named entity 'heatmap' named entity 'transition rates' named entity 'viruses' named entity 'adjacency matrix' named entity 'cost function'

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