The Eigenvalues-Based Entropy and Spectrum of the Directed Cycles

The Eigenvalues-Based Entropy and Spectrum of the Directed Cycles

Yan Sun, Jiu Chang Pei, Jian Fu Chen, Zhu Cun
Copyright: © 2023 |Pages: 15
DOI: 10.4018/IJGCMS.333480
Article PDF Download
Open access articles are freely available for download

Abstract

The directed cycles form a foundational structure within a network model. By analyzing the in-degree characteristic polynomial of three kinds of matrices of the directed cycles, the authors obtain the eigenvalues of the adjacency matrix , the Laplacian matrix , and the signless Laplacian matrix . This study investigates the eigenvalues spectrum of these three types of matrices for directed cycles and introduces an eigenvalue-based entropy calculated from the real part of the eigenvalues. The computer simulation reveals interesting characteristics on the spectrum of the signless Laplacian. The concept of eigenvalue-based entropy holds promise for enhancing our understanding of graph neural networks and more applications of social networks.
Article Preview
Top

2. Preliminary

Let IJGCMS.333480.m04 be a directed graph, where IJGCMS.333480.m05 is the set of vertices and IJGCMS.333480.m06 is the set of ordered vertex pairs IJGCMS.333480.m07, which are edges of the directed graph. The edge is also denoted by IJGCMS.333480.m08. The basic property of a vertex in a digraph is the degree of the vertex. The in-degree and out-degree of a vertex IJGCMS.333480.m09 are denoted by IJGCMS.333480.m10 and IJGCMS.333480.m11, respectively. The in-degree sum of vertex IJGCMS.333480.m12 is denoted by IJGCMS.333480.m13. The degree matrix IJGCMS.333480.m14 is defined as the diagonal IJGCMS.333480.m15 matrix, where each vertex’s degree is at the position of the main diagonal, and the term outside the main diagonal is zero. Similarly, in a digraph, the in-degree and the out-degree matrix can be defined as IJGCMS.333480.m16 and IJGCMS.333480.m17, respectively. Let the in-degree adjacency matrix of the digraph be denoted by IJGCMS.333480.m18, in-degree Laplacian matrix be denoted by IJGCMS.333480.m19, and in-degree signless Laplacian matrix be denoted by IJGCMS.333480.m20(Cvetkovic et al., 1998).

Complete Article List

Search this Journal:
Reset
Volume 16: 1 Issue (2024)
Volume 15: 1 Issue (2023)
Volume 14: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 13: 4 Issues (2021)
Volume 12: 4 Issues (2020)
Volume 11: 4 Issues (2019)
Volume 10: 4 Issues (2018)
Volume 9: 4 Issues (2017)
Volume 8: 4 Issues (2016)
Volume 7: 4 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing