Rotated multifractal network generator

Gergely Palla, Péter Pollner, Tams Vicsek

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The recently introduced multifractal network generator (MFNG), has been shown to provide a simple and flexible tool for creating random graphs with very diverse features. The MFNG is based on multifractal measures embedded in 2d, leading also to isolated nodes, whose number is relatively low for realistic cases, but may become dominant in the limiting case of infinitely large network sizes. Here we discuss the relation between this effect and the information dimension for the 1d projection of the link probability measure (LPM), and argue that the node isolation can be avoided by a simple transformation of the LPM based on rotation.

Original languageEnglish
Article numberP02003
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2011
Issue number2
DOIs
Publication statusPublished - Feb 2011

Keywords

  • analysis of algorithms
  • network reconstruction
  • networks
  • random graphs

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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