Static Representation of Epidemics on Well-characterised Dynamic Networks
by
Rowland R. Kao
University of Glasgow

Social network representations of populations are becoming an increasingly

useful tool when analysing epidemic structures. Most analyses of social

networks assume that contacts between nodes (individuals) are fixed,

i.e. a static network. In reality, most links between individuals are

dynamic, appearing and disappearing over time. Here, I discuss a class of dynamic networks where epidemic properties

can be defined by an equivalent "static snapshot" taken over the

infectious periods of the individuals in the network, using small-world

networks and real datasets where contacts structure and timing are

precisely known, as examples.

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Date received: May 8, 2008