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In Social Computing, Behavioral-Cultural Modeling and Prediction, Vol. 6589 (2011), pp. 366-373, doi:10.1007/978-3-642-19656-0_50 Key: citeulike:10123524
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In recent years, individual based epidemic simulations on synthetic social contact networks have been proved useful in supporting public health epidemiology. In use of such models, it is often desirable to understand how disease spreads through a small subset of the population; furthermore often data is available that allows us to develop more refined representations of social contact networks that span these sub-populations. Examples include: schools, office campuses, military bases, etc. Here, we develop a multi-level refinement and analysis technique to synthesize and embed subnetworks of an existing contact network when more detailed activity data about a small community is available. The methodology is illustrated by embedding detailed high school networks in a synthetic social contact network of the New River Valley, Virginia.
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