81 research outputs found
Properties of highly clustered networks
Full text linkWe 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
Increased expression of multidrug resistance related proteins Pgp, MRP1, and LRP/MVP occurs early in colorectal carcinogenesis
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LECTURES ON CONTINUOUS GROUPS AND REFLECTIONS IN QUANTUM MECHANICS GIVEN BY WOLFGANG PAULI AT THE UNIVERSITY OF CALIFORNIA, SPRING TERM, 1958, NO. 1 THRU NO. 28.
No full textThe entrance-portico in the architecture of Great Britain, 1630-1850
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BOUNDARY-DISTRIBUTION SOLUTION OF THE HELMHOLTZ EQUATION FOR A REGION WITH CORNERS
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Boundary dipole distributions for the solution of Helmholtz equations
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