Degree-dependent intervertex separation in complex networks

preprint2007arXivOpen access

Abstract

We study the mean length ℓ(k)\ell(k) of the shortest paths between a vertex of degree kk 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, ℓ(k)=Aln⁡[N/k(γ−1)/2]−Ckγ−1/N+...\ell(k) = A\ln [N/k^{(γ-1)/2}] - C k^{γ-1}/N + ... in a wide range of network sizes. Here NN is the number of vertices in the network, γγ is the degree distribution exponent, and the coefficients AA and CC depend on a network. We compare this law with a corresponding ℓ(k)\ell(k) 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, ℓ(k)≅Aln⁡N−Ck\ell(k) \cong A\ln N - C k. We compare our findings for growing networks with those for uncorrelated graphs.

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