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The normalized Laplacian spectrum of subdivisions of a graph

Authors: Xie, Pinchen; Zhang, Zhongzhi; Comellas Padró, Francesc de Paula;

The normalized Laplacian spectrum of subdivisions of a graph

Abstract

Determining and analyzing the spectra of graphs is an important and exciting research topic in theoretical computer science. The eigenvalues of the normalized Laplacian of a graph provide information on its structural properties and also on some relevant dynamical aspects, in particular those related to random walks. In this paper, we give the spectra of the normalized Laplacian of iterated subdivisions of simple connected graphs. As an example of application of these results we find the exact values of their multiplicative degree-Kirchhoff index, Kemeny's constant and number of spanning trees.

Keywords

Subdivision graph, Spanning trees, degree-Kirchhoff index, normalized Laplacian spectrum, FOS: Physical sciences, Kemeny's constant, Graph theory--Data processing, Transformacions de, FOS: Mathematics, Mathematics - Combinatorics, Degree-Kirchhoff index, Condensed Matter - Statistical Mechanics, Mathematical Physics, subdivision graph, Àrees temàtiques de la UPC::Matemàtiques i estadística, Normalized Laplacian spectrum, Statistical Mechanics (cond-mat.stat-mech), Graphs and linear algebra (matrices, eigenvalues, etc.), Laplace, :Matemàtiques i estadística [Àrees temàtiques de la UPC], Mathematical Physics (math-ph), spanning trees, Kemeny’s constant, Laplace, Transformacions de, Combinatorics (math.CO)

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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BIP!Impulse provided by BIP!
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