Scale-Free Networks are Ultrasmall
Reuven Cohen, Shlomo Havlin
Abstract
We study the diameter, or the mean distance between sites, in a scale-free network, having N sites and degree distribution p(k) ~ k-a, i.e. the probability of having k links outgoing from a site. In contrast to the diameter of regular random networks or small world networks which is known to be d ~ lnN, we show, using analytical arguments, that scale free networks with 2<a<3 have a much smaller diameter, behaving as d ~ lnlnN. For a=3, our analysis yields d ~ lnN/lnlnN, as obtained by Bollobas and Riordan, while for a>3, d ~ lnN. We also show that, for any a>2, one can construct a deterministic scale free network with d ~ lnlnN, and this construction yields the lowest possible diameter.
Create a lesson
Related papers
The Stone-Wales trefoil: a new topological defect in graphene
M. V. Kondrin, Y. B. Lebed, V. V. Brazhkin
Short-Range Vector Spin Glasses: Parisi Hierarchies and Real-Space Ultrametricity
Akash Vijay, Jaewon Kim, Jong Yeon Lee
Lyapunov spectrum of random neural networks
David G. Clark
Revealing more on complex energy landscapes by passing less local information: Cavity approach with trust region in non-convex optimization problems
Zhiqi Xu, Chi Ho Yeung
Predicting activation-barrier and plasticity-onset statistics in a model of glasses
Makoto Suda, Edan Lerner, Eran Bouchbinder
Classifications in modular restricted Boltzmann machines
Elena Agliari, Andrea Lepre, Edoardo Roscani