Investigation of chemical space networks using graph measures and random matrix theory

DOI10.1007/s10910-022-01341-yzbMath1492.92154OpenAlexW4220703806MaRDI QIDQ2143465

Yanyan Li

Publication date: 31 May 2022

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-022-01341-y

zbMATH Keywords

random matrix theoryspectral graph theorychemical space networksgraph adjacency matrix

Mathematics Subject Classification ID

Random matrices (probabilistic aspects) (60B20) Molecular structure (graph-theoretic methods, methods of differential topology, etc.) (92E10) Chemical graph theory (05C92)

Uses Software

• Mathematica
• R
• igraph
• PaDEL-Descriptor

Cites Work

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• Characteristic vectors of bordered matrices with infinite dimensions
• Characteristic vectors of bordered matrices with infinite dimensions. II
• On the distribution of the roots of certain symmetric matrices
• Hurwitz and the origins of random matrix theory in mathematics
• Statistical mechanics of complex networks
• Eigenvalue spectra of complex networks
• Semiclassical theory of spectral rigidity
• Statistical Theory of the Energy Levels of Complex Systems. IV
• Exploring complex networks
• Level clustering in the regular spectrum
• Characterization of Chaotic Quantum Spectra and Universality of Level Fluctuation Laws
• Quantum signatures of chaos
• Networks

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