81 research outputs found
Properties of highly clustered networks
We propose and solve exactly a model of a network that has both a tunable
degree distribution and a tunable clustering coefficient. Among other things,
our results indicate that increased clustering leads to a decrease in the size
of the giant component of the network. We also study SIR-type epidemic
processes within the model and find that clustering decreases the size of
epidemics, but also decreases the epidemic threshold, making it easier for
diseases to spread. In addition, clustering causes epidemics to saturate
sooner, meaning that they infect a near-maximal fraction of the network for
quite low transmission rates.Comment: 7 pages, 2 figures, 1 tabl
The entrance-portico in the architecture of Great Britain, 1630-1850
In 2 volsSIGLEAvailable from British Library Document Supply Centre-DSC:D191710 / BLDSC - British Library Document Supply CentreGBUnited Kingdo
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