The concept of average degree-eccentricity matrix ADE(G) of a connected graph $G$ is introduced. Some coefficients of the characteristic polynomial of ADE(G) are obtained, as well as a bound for the eigenvalues of ADE(G). We also introduce the average degree-eccentricity graph energy and establish bounds for it.

A spectral graph theory is a theory in which graphs are studied by means of eigenvalues of a matrix M which is in a prescribed way defined for any graph. This theory is called M -theory. We outline a spectral theory of graphs based on the signless Laplacians Q and compare it with other spectral theories, in particular with those based on the adjacency matrix A and the Laplacian L. The Q-theory ...

It is necessary to generate the automorphism group of a chemical graph in computer-aided structure elucidation. An Euclidean graph associated with a molecule is defined by a weighted graph with adjacency matrix M = [dij], where for i≠j, dij is the Euclidean distance between the nuclei i and j. In this matrix dii can be taken as zero if all the nuclei are equivalent. Otherwise, one may introduce...

Rough set concept is a methodology of information processing for relational databases. It unique uncertainty mathematics topic closely connected to fuzzy theory. When the rough combined with neutrosophic theory, an effective tool working indeterminacy arises. In this study, we defined multi-valued and matrix. Using separation measures, introduced new approach structure. We consider problem dete...

‎Let $G$ be a graph without an isolated vertex‎, ‎the normalized Laplacian matrix $tilde{mathcal{L}}(G)$‎ ‎is defined as $tilde{mathcal{L}}(G)=mathcal{D}^{-frac{1}{2}}mathcal{L}(G)mathcal{D}^{-frac{1}{2}}$‎, where ‎$mathcal{D}$ ‎is a‎ diagonal matrix whose entries are degree of ‎vertices ‎‎of ‎$‎G‎$‎‎. ‎The eigenvalues of‎ $tilde{mathcal{L}}(G)$ are ‎called as ‎the ‎normalized Laplacian eigenva...

‎let $g$ be a graph without an isolated vertex‎, ‎the normalized laplacian matrix $tilde{mathcal{l}}(g)$‎‎is defined as $tilde{mathcal{l}}(g)=mathcal{d}^{-frac{1}{2}}mathcal{l}(g) mathcal{d}^{-frac{1}{2}}$‎, where ‎$‎mathcal{‎d}‎$ ‎is a‎ diagonal matrix whose entries are degree of ‎vertices ‎‎of ‎$‎g‎$‎‎. ‎the eigenvalues of‎‎$tilde{mathcal{l}}(g)$ are ‎called ‎ ‎ as ‎the ‎normalized laplacian ...

Exchangeable graph models (ExGM) are a nonparametric approach to modeling network data that subsumes a number of popular models. The key object that defines an ExGM is often referred to as a graphon, or graph kernel. Here, we make three contributions to advance the theory of estimation of graphons. We determine conditions under which a unique canonical representation for a graphon exists and it...

shop on Sparse Matrix Computations: Graph Theory Issues and Algorithms, Institute for Mathematics and Its Applications, Springer-Verlag, 1992. [13] G. L. Miller, S. Teng, and S. A. Vavasis, A uni ed geometric approach to graph separators, in Proceedings of the 32nd Annual Symposiumon Foundations of Computer Science, IEEE, 1991, pp. 538{547. [14] G. L. Miller and W. Thurston, Separators in two a...