Degree correlations in scale-free null models
Probability
2018-07-30 v2
Abstract
We study the average nearest neighbor degree of vertices with degree . In many real-world networks with power-law degree distribution falls off in , a property ascribed to the constraint that any two vertices are connected by at most one edge. We show that indeed decays in in three simple random graph null models with power-law degrees: the erased configuration model, the rank-1 inhomogeneous random graph and the hyperbolic random graph. We consider the large-network limit when the number of nodes tends to infinity. We find for all three null models that starts to decay beyond and then settles on a power law , with the degree exponent.
Cite
@article{arxiv.1709.01085,
title = {Degree correlations in scale-free null models},
author = {Clara Stegehuis},
journal= {arXiv preprint arXiv:1709.01085},
year = {2018}
}
Comments
21 pages, 4 figures