4.3 Article

Mesoscopic structures and the Laplacian spectra of random geometric graphs

Journal

JOURNAL OF COMPLEX NETWORKS
Volume 3, Issue 4, Pages 543-551

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/comnet/cnv004

Keywords

spatial networks; random geometric graphs; symmetry; motifs; graph Laplacian; eigenvalue spectrum

Funding

  1. National Science Foundation [DMR-1206839]
  2. Air Force Office of Scientific Research
  3. Defense Advanced Research Projects Agency [FA9550-12-1-0405]

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We investigate the Laplacian spectra of random geometric graphs (RGGs). The spectra are found to consist of both a discrete and a continuous part. The discrete part is a collection of Dirac delta peaks at integer values roughly centred around the mean degree. The peaks are mainly due to the existence of mesoscopic structures that occur far more abundantly in RGGs than in non-spatial networks. The probability of certain mesoscopic structures is analytically calculated for one-dimensional RGGs and they are shown to produce integer-valued eigenvalues that comprise a significant fraction of the spectrum, even in the large network limit. A phenomenon reminiscent of Bose-Einstein condensation in the appearance of zero eigenvalues is also found.

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