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In this paper we build and analyze networks using the statistical and programming
environment R and the igraph package. We investigate random, small-world, and scale-free
networks and test a standard problem of connectivity on a random graph. We then develop a
method to study how vaccination can alter the structure of a disease transmission network.
We also discuss a variety of other uses for networks in biology.
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