Clustering Spectrum of scale-free networks

Clara Stegehuis, Remco van der Hofstad, Johan S. H. van Leeuwaarden, A. J. E. M Janssen

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)
17 Downloads (Pure)


Real-world networks often have power-law degrees and scale-free properties such as ultra-small distances and ultra-fast information spreading. In this paper, we study a third universal property: three-point correlations that suppress the creation of triangles and signal the presence of hierarchy. We quantify this property in terms of $\bar c(k)$, the probability that two neighbors of a degree-$k$ node are neighbors themselves. We investigate how the clustering spectrum $k\mapsto\bar c(k)$ scales with $k$ in the hidden variable model and show that $c(k)$ follows a {\it universal curve} that consists of three $k$-ranges where $\bar c(k)$ remains flat, starts declining, and eventually settles on a power law $\bar c(k)\sim k^{-\alpha}$ with $\alpha$ depending on the power law of the degree distribution. We test these results against ten contemporary real-world networks and explain analytically why the universal curve properties only reveal themselves in large networks.
Original languageEnglish
Article number042309
JournalPhysical review E: covering statistical, nonlinear, biological, and soft matter physics
Publication statusPublished - 26 Oct 2017
Externally publishedYes


  • cs.SI
  • math.PR
  • physics.soc-ph


Dive into the research topics of 'Clustering Spectrum of scale-free networks'. Together they form a unique fingerprint.

Cite this