Abstract
We study the statistics of the backbone cluster between two sites
separated by distance r in two-dimensional percolation networks
subjected to spatial long-range correlations. We find that the
distribution of backbone mass follows the scaling ansatz, P(M-B)similar toM(B)(-(alpha+1))f(M-B/M-0), where f(x)=(alpha+etax(eta))exp(-x(eta))
is a cutoff function and M-0 and eta are cutoff parameters. Our results
from extensive computational simulations indicate that this scaling form
is applicable to both correlated and uncorrelated cases. We show that
the exponent alpha can be directly related to the fractal dimension of
the backbone d(B), and should therefore depend on the imposed degree of
long-range correlations.
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