The Degree Energy of a Graph

The incidence of edges on vertices is a cornerstone of graph theory, with profound implications for various graph properties and applications. Understanding degree distributions and their implications is crucial for analyzing and modeling real-world networks. This study investigates the impact of vertex degree distribution on the energy landscape of graphs in network theory. By analyzing how vertex connectivity influences graph energy, the research enhances the understanding of network structure and dynamics. It establishes important properties and sharp bounds related to degree spectra and degree energy. Furthermore, the study determines the degree spectra and degree energy for several key families of graphs, providing valuable insights with potential applications across various fields.

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Publication Details

Journal
Mathematics
Published
2024-08-29
DOI
https://doi.org/10.3390/math12172699
Citations
4
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
4.05
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article

The Degree Energy of a Graph

A. S. Shrikanth, G. K. Kalavathi, A. R. Nagalakshmi, K. S. Sreekeshava
4 citations
Mathematics
Graph theory and applications
4.05
article

The Degree Energy of a Graph

A. S. Shrikanth, G. K. Kalavathi, A. R. Nagalakshmi, K. S. Sreekeshava
article en
4 citations

Abstract

The incidence of edges on vertices is a cornerstone of graph theory, with profound implications for various graph properties and applications. Understanding degree distributions and their implications is crucial for analyzing and modeling real-world networks. This study investigates the impact of vertex degree distribution on the energy landscape of graphs in network theory. By analyzing how vertex connectivity influences graph energy, the research enhances the understanding of network structure and dynamics. It establishes important properties and sharp bounds related to degree spectra and degree energy. Furthermore, the study determines the degree spectra and degree energy for several key families of graphs, providing valuable insights with potential applications across various fields.

MathematicsVol. 12(17)
Visvesvaraya Technological University (IN)
Affordable and clean energy
Openalex Percentile: Top 6%
Graph theory and applications
4.05
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