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Identifying superspreaders for epidemics using R0-adjusted ..:
, In:
Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World
,
Lee, Taesik
;
Lee, Hyun-Rok
;
Hwang, Kyosang
- p. 2239-2249 , 2013
Link:
https://dl.acm.org/doi/10.5555/2675983.2676262
RT T1 <cTitle>Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World</cTitle>: T1 <Title>Identifying superspreaders for epidemics using R0-adjusted network centrality</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2676262&Exemplar=1&LAN=DE A1 Lee, Taesik A1 Lee, Hyun-Rok A1 Hwang, Kyosang PB IEEE Press YR 2013 K1 Applied computing K1 Computing methodologies K1 Modeling and simulation K1 Model development and analysis K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Operations research K1 Information systems K1 Information systems applications K1 Decision support systems K1 Motif discovery K1 Decision analysis K1 Computing platforms K1 Enterprise computing SP 2239 OP 2249 LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/2675983.2676262 DO https://dl.acm.org/doi/10.5555/2675983.2676262 SF ELIB - SuUB Bremen
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