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Mathematical and Computer Modelling of Dynamical Systems
Article . 2025 . Peer-reviewed
License: CC BY
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A novel algebraic technique for adjacency matrices of some derived graphs

Authors: Hacer Ozden Ayna; Aysun Yurttas Gunes; Sadik Delen; Medha Itagi Huilgol; Berke Ozmen; Ismail Naci Cangul;

A novel algebraic technique for adjacency matrices of some derived graphs

Abstract

Graph energy has been the main concern of spectral graph theory in the last five decades. The classical graph energy is the sum of the absolute values of the eigenvalues of the adjacency matrix. In many research papers, different versions of graph energy by utilizing different graph matrices are introduced. For many graph types corresponding to molecular structures, the energy is determined. The theory is complete for complete bipartite graphs. For derived graphs, the problem was settled partially for line, total, double and subdivision graphs. In this paper, the more complex cases of power graphs, shadow, image and core graphs are discussed, and the adjacency matrices of these derived graph classes are formed in terms of very simple submatrices.

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Keywords

line graph, T57-57.97, Applied mathematics. Quantitative methods, Adjacency matrix, derived graph, QA1-939, Mathematics, 05C07, 05C10, 05C30, 68R10

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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).
BIP!Citations provided by BIP!
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
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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