Degree-dependent intervertex separation in complex networks
arXiv:cond-mat/0411526 · doi:10.1103/PhysRevE.73.056122
Abstract
We study the mean length of the shortest paths between a vertex of degree and other vertices in growing networks, where correlations are essential. In a number of deterministic scale-free networks we observe a power-law correction to a logarithmic dependence, in a wide range of network sizes. Here is the number of vertices in the network, is the degree distribution exponent, and the coefficients and depend on a network. We compare this law with a corresponding dependence obtained for random scale-free networks growing through the preferential attachment mechanism. In stochastic and deterministic growing trees with an exponential degree distribution, we observe a linear dependence on degree, . We compare our findings for growing networks with those for uncorrelated graphs.
8 pages, 3 figures
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