Mesoscopic scales in hierarchical configuration models

Remco van der Hofstad, Johan S. H. van Leeuwaarden, Clara Stegehuis (Corresponding Author)

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To understand mesoscopic scaling in networks, we study the hierarchical configuration model (HCM), a random graph model with community structure. Connections between communities are formed as in a configuration model. We study the component sizes of HCM at criticality, and we study critical bond percolation. We find the conditions on the community sizes such that the critical component sizes of HCM behave similarly as in the configuration model. We show that the ordered components of a critical HCM on vertices are . More specifically, the rescaled component sizes converge to the excursions of a Brownian motion with parabolic drift.
Original languageEnglish
Pages (from-to)4246-4276
JournalStochastic processes and their applications
Issue number12
Early online date19 Feb 2018
Publication statusPublished - 1 Dec 2018
Externally publishedYes


  • Random graphs
  • Configuration model
  • Community structure
  • Critical behavior
  • Bond percolation
  • Brownian excursions

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