English

Mesoscopic scales in hierarchical configuration models

Probability 2018-03-15 v1

Abstract

To understand mesoscopic scaling in networks, we study the hierarchical configuration model (HCM), a random graph model with community structure. The connections between the communities are formed as in a configuration model. We study the component sizes of the hierarchical configuration model at criticality when the inter-community degrees have a finite third moment. We find the conditions on the community sizes such that the critical component sizes of the HCM behave similarly as in the configuration model. Furthermore, we study critical bond percolation on the HCM. We show that the ordered components of a critical HCM on NN vertices are of sizes O(N2/3)O(N^{2/3}). More specifically, the rescaled component sizes converge to the excursions of a Brownian motion with parabolic drift, as for the scaling limit for the configuration model under a finite third moment condition.

Keywords

Cite

@article{arxiv.1612.02668,
  title  = {Mesoscopic scales in hierarchical configuration models},
  author = {Remco van der Hofstad and Johan S. H. van Leeuwaarden and Clara Stegehuis},
  journal= {arXiv preprint arXiv:1612.02668},
  year   = {2018}
}

Comments

27 pages, 3 figures

R2 v1 2026-06-22T17:17:31.107Z