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Mesoscopic structures and the Laplacian spectra of random geometric graphs

  • Amy Nyberg
  • , Thilo Gross
  • , Kevin E Bassler

    Research output: Contribution to journal › Article (Academic Journal) › peer-review

    18 Citations (Scopus)
    371 Downloads (Pure)

    Abstract

    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 centered 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.
    Original languageEnglish
    Pages (from-to)543-551
    Number of pages9
    JournalJournal of Complex Networks
    Volume3
    Issue number4
    Early online date6 Mar 2015
    DOIs
    Publication statusPublished - Dec 2015

    Research Groups and Themes

    • Engineering Mathematics Research Group

    Keywords

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

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