Localized and delocalized modes on random geometric graphs in one dimension

We perform an extensive investigation of the localization properties of the eigenmodes of the Laplace and adjacency matrices for one-dimensional random geometric graphs. We evaluate the density of states, the probability distribution of the participation ratio, and its relation to the eigenvalues. By disentangling the influence of system size, graph component size distribution, mean degree of nodes, network motifs, and degeneracy, we provide a comprehensive understanding of this system. We compare our findings to ordered graphs with the same mean degree and to one-dimensional tight-binding models.

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Publication Details

Journal
Physical review. E
Published
2025-11-10
DOI
https://doi.org/10.1103/bp8s-pf4s
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Localized and delocalized modes on random geometric graphs in one dimension

Barbara Drossel, L. Schaefer
Physical review. E
Complex Network Analysis Techniques
article

Localized and delocalized modes on random geometric graphs in one dimension

Barbara Drossel, L. Schaefer
article en

Abstract

We perform an extensive investigation of the localization properties of the eigenmodes of the Laplace and adjacency matrices for one-dimensional random geometric graphs. We evaluate the density of states, the probability distribution of the participation ratio, and its relation to the eigenvalues. By disentangling the influence of system size, graph component size distribution, mean degree of nodes, network motifs, and degeneracy, we provide a comprehensive understanding of this system. We compare our findings to ordered graphs with the same mean degree and to one-dimensional tight-binding models.

Physical review. EVol. 112(6)
Technische Universität Darmstadt (DE)
Openalex Percentile: Top 69%
Complex Network Analysis Techniques
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