Topological versus spectral properties of random geometric graphs

R. Aguilar-Sánchez, J. A. Méndez-Bermúdez, Francisco A. Rodrigues, and José M. Sigarreta
Phys. Rev. E 102, 042306 – Published 16 October 2020

Abstract

In this work we perform a detailed statistical analysis of topological and spectral properties of random geometric graphs (RGGs), a graph model used to study the structure and dynamics of complex systems embedded in a two-dimensional space. RGGs, G(n,), consist of n vertices uniformly and independently distributed on the unit square, where two vertices are connected by an edge if their Euclidian distance is less than or equal to the connection radius [0,2]. To evaluate the topological properties of RGGs we chose two well-known topological indices, the Randić index R(G) and the harmonic index H(G). We characterize the spectral and eigenvector properties of the corresponding randomly weighted adjacency matrices by the use of random matrix theory measures: the ratio between consecutive eigenvalue spacings, the inverse participation ratios, and the information or Shannon entropies S(G). First, we review the scaling properties of the averaged measures, topological and spectral, on RGGs. Then we show that (i) the averaged-scaled indices, R(G) and H(G), are highly correlated with the average number of nonisolated vertices V×(G); and (ii) surprisingly, the averaged-scaled Shannon entropy S(G) is also highly correlated with V×(G). Therefore, we suggest that very reliable predictions of eigenvector properties of RGGs could be made by computing topological indices.

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  • Received 5 July 2020
  • Accepted 27 September 2020

DOI:https://doi.org/10.1103/PhysRevE.102.042306

©2020 American Physical Society

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Authors & Affiliations

R. Aguilar-Sánchez1, J. A. Méndez-Bermúdez2,3, Francisco A. Rodrigues2, and José M. Sigarreta4

  • 1Facultad de Ciencias Químicas, Benemérita Universidad Autónoma de Puebla, Puebla 72570, Mexico
  • 2Departamento de Matemática Aplicada e Estatística, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo - Campus de São Carlos, Caixa Postal 668, 13560-970 São Carlos, SP, Brazil
  • 3Instituto de Física, Benemérita Universidad Autónoma de Puebla, Apartado Postal J-48, Puebla 72570, Mexico
  • 4Facultad de Matemáticas, Universidad Autónoma de Guerrero, Carlos E. Adame No.54 Col. Garita, Acapulco Gro. 39650, Mexico

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Vol. 102, Iss. 4 — October 2020

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