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
References in corpus (6)
- Fermi-Pasta-Ulam model with long-range interactions: Dynamics and thermostatistics
- Dynamics and Statistics of the Fermi--Pasta--Ulam --model with different ranges of particle interactions
- Validity and Failure of the Boltzmann Weight
- Controlling the Range of Interactions in the Classical Inertial Ferromagnetic Heisenberg Model: Analysis of Metastable States
- Fermi--Pasta--Ulam--Tsingou problems: Passage from Boltzmann to -statistics
- Role of dimensionality in preferential attachment growth in the Bianconi-Barabási model