Bond percolation on a class of clustered random networks.
Analytical results are derived for the bond percolation threshold and the size of the giant connected component in a class of random networks with nonzero clustering. The network's degree distribution and clustering spectrum may be prescribed and theoretical results match well with numerical simulations on both synthetic and real-world networks.
Gleeson
James P
JP
Department of Mathematics & Statistics, University of Limerick, Limerick, Ireland.
D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D015398:Signal Transduction / Q000502:physiology*