paper

Scaling properties of d-dimensional complex networks

arXiv:1810.01686 · doi:10.1103/PhysRevE.99.012305

Abstract

The area of networks is very interdisciplinary and exhibits many applications in several fields of science. Nevertheless, there are few studies focusing on geographically located -dimensional networks. In this paper, we study scaling properties of a wide class of -dimensional geographically located networks which grow with preferential attachment involving Euclidean distances through . We have numerically analyzed the time evolution of the connectivity of sites, the average shortest path, the degree distribution entropy, and the average clustering coefficient, for , and typical values of . Remarkably enough, virtually all the curves can be made to collapse as functions of the scaled variable . These observations confirm the existence of three regimes. The first one occurs in the interval ; it is non-Boltzmannian with very-long-range interactions in the sense that the degree distribution is a -exponential with constant and above unity. The critical value that emerges in many of these properties is replaced by for the -exponent which characterizes the time evolution of the connectivity of sites. The second regime is still non-Boltzmannian, now with moderately long-range interactions, and reflects in an index monotonically decreasing with increasing from its critical value to a characteristic value . Finally, the third regime is Boltzmannian (with ), and corresponds to short-range interactions.

6 pages, 8 figures

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