arXiv · cond-mat/0302544
Connectivity Distribution of Spatial Networks
Abstract
We study spatial networks constructed by randomly placing nodes on a manifold and joining two nodes with an edge whenever their distance is less than a certain cutoff. We derive the general expression for the connectivity distribution of such networks as a functional of the distribution of the nodes. We show that for regular spatial densities, the corresponding spatial network has a connectivity distribution decreasing faster than an exponential. In contrast, we also show that scale-free networks with a power law decreasing connectivity distribution are obtained when a certain information measure of the node distribution (integral of higher powers of the distribution) diverges. We illustrate our results on a simple example for which we present simulation results. Finally, we speculate on the role played by the limiting case P(k)=1/k which appears empirically to be relevant to spatial networks of biological origin such as the ones constructed from gene expression data.
Explore related subjects
Keep this discovery
Carl Herrmann, Marc Barthelemy, Paolo Provero. 2003-02-26. Connectivity Distribution of Spatial Networks. https://doi.org/10.1103/physreve.68.026128
Cite the original work for its findings. Save a collection to share your selection of sources.