Assessing node risk and vulnerability in epidemics on networks

Centre for Networks and Collective Behaviour, University of Bath - Bath, BA2 7AY, UK

Received: 10 October 2014
Accepted: 16 January 2015

Abstract

Which nodes are most vulnerable to an epidemic spreading through a network, and which carry the highest risk of causing a major outbreak if they are the source of the infection? Here we show how these questions can be answered to good approximation using the cavity method. Several curious properties of node vulnerability and risk are explored: some nodes are more vulnerable than others to weaker infections, yet less vulnerable to stronger ones; a node is always more likely to be caught in an outbreak than it is to start one, except when the disease has a deterministic lifetime; the rank order of node risk depends on the details of the distribution of infectious periods.