arXiv Analytics

Sign in

arXiv:0705.4153 [math.PR]AbstractReferencesReviewsResources

Diameters in preferential attachment models

Sander Dommers, Remco van der Hofstad, Gerard Hooghiemstra

Published 2007-05-29, updated 2010-04-13Version 3

In this paper, we investigate the diameter in preferential attachment (PA-) models, thus quantifying the statement that these models are small worlds. The models studied here are such that edges are attached to older vertices proportional to the degree plus a constant, i.e., we consider affine PA-models. There is a substantial amount of literature proving that, quite generally, PA-graphs possess power-law degree sequences with a power-law exponent \tau>2. We prove that the diameter of the PA-model is bounded above by a constant times \log{t}, where t is the size of the graph. When the power-law exponent \tau exceeds 3, then we prove that \log{t} is the right order, by proving a lower bound of this order, both for the diameter as well as for the typical distance. This shows that, for \tau>3, distances are of the order \log{t}. For \tau\in (2,3), we improve the upper bound to a constant times \log\log{t}, and prove a lower bound of the same order for the diameter. Unfortunately, this proof does not extend to typical distances. These results do show that the diameter is of order \log\log{t}. These bounds partially prove predictions by physicists that the typical distance in PA-graphs are similar to the ones in other scale-free random graphs, such as the configuration model and various inhomogeneous random graph models, where typical distances have been shown to be of order \log\log{t} when \tau\in (2,3), and of order \log{t} when \tau>3.

Related articles: Most relevant | Search more
arXiv:1905.03031 [math.PR] (Published 2019-05-08)
New Lower Bounds for Trace Reconstruction
arXiv:1003.0334 [math.PR] (Published 2010-03-01)
A lower bound on the critical parameter of interlacement percolation in high dimension
arXiv:1808.02336 [math.PR] (Published 2018-08-04)
Lower bounds for trace reconstruction