Mesoscopic structures and the Laplacian spectra of random geometric graphs
Amy Nyberg, Thilo Gross, Kevin E. Bassler

TL;DR
This paper analyzes the Laplacian spectra of random geometric graphs, revealing discrete peaks caused by mesoscopic structures and a Bose-Einstein-like phenomenon for zero eigenvalues, advancing understanding of spatial network properties.
Contribution
It introduces an analytical framework linking mesoscopic structures in RGGs to spectral features, highlighting their impact on eigenvalue distributions.
Findings
Discrete spectral peaks are linked to mesoscopic structures.
Mesoscopic structures produce significant integer eigenvalues.
Zero eigenvalues exhibit Bose-Einstein condensation-like behavior.
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
