Predicting epidemics on directed contact networks.

By Lauren Ancel Meyers, Mark Newman, B. Pourbohloul. Journal of Theoretical Biology, 2006

300 citations recorded by the source corpus.

How researchers see this paper

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A framework for community identification in dynamic social networks (2007, background): “Social networks have attracted a large amount of attention from epidemiologists [21, 25, 28], sociologists [5, 29, 38], biologists (animal interactions) [7, 6, 10, 30, 36], the intelligence community (terrorism networks) [3, 23, 24], and more recently also from computer scientists [1, 11, 14, 17, 18”
Game Theory of Social Distancing in Response to an Epidemic (2010, result): “Thus, the simple epidemic model is often considered as a worst-casescenario, when compared with more complex network models [29,30] and agent-based models [31–33].”
When individual behaviour matters: homogeneous and network models in epidemiology (2007, background): “They provide excellent final-state predictions, but do not predict the dynamics of an outbreak (Moore & Newman 2000; Newman 2002; Meyers et al. 2003, 2005, 2006).”