Identifying superspreaders for epidemics using R0-adjusted network centrality

Abstract

Identifying "superspreaders" in a network is a key problem to designing an effective mitigation strategy against a spread of an epidemic disease. Superspreaders are a set of nodes that play a hub role in a disease spread network, and classical network centrality measures are often used to identify such hubs. In this research, we test a hypothesis that a… (More)

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