ON EDGE MASS ENERGY OF GRAPHS

Let be a simple graph of order n and size m, the vertex weight and edge weight is defined as w(vi)=dG(vi) and w(ei) = dG(vi) + dG(vj)-2 for e= vivj. The edge mass adjacency matrix Aw(G) of a graph G is defined in such a way that, for any vi that is adjacent to vj, its (i, j) -entry equals dG(vi) + dG(vj)-2; otherwise, it equals 0 . We look at the Aw(G ‘s EW(G) spectral radius λw1 and energy EW(G). Lower and upper bounds are obtained for λw1 and EW(G) and the respective extremal graphs are characterised. Further we consider a set of 22 benzenoid hydrocarbons and calculate their graph energy and edge mass energy by drawing its molecular graphs. The correlation between physiochemical properties of benzenoid hydrocarbons, molecular descriptors and graph energies are obtained and regression models are studied to check the predictability of physiochemical properties of benzenoid hydrocarbons with E(G) and EW(G).

Authors

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.71058/jodac.v9i6009
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ON EDGE MASS ENERGY OF GRAPHS

S.N. Naik, Meenal M. Kaliwal, Vidya S. Umadi
Graph theory and applications
article

ON EDGE MASS ENERGY OF GRAPHS

S.N. Naik, Meenal M. Kaliwal, Vidya S. Umadi
article en

Abstract

Let be a simple graph of order n and size m, the vertex weight and edge weight is defined as w(vi)=dG(vi) and w(ei) = dG(vi) + dG(vj)-2 for e= vivj. The edge mass adjacency matrix Aw(G) of a graph G is defined in such a way that, for any vi that is adjacent to vj, its (i, j) -entry equals dG(vi) + dG(vj)-2; otherwise, it equals 0 . We look at the Aw(G ‘s EW(G) spectral radius λw1 and energy EW(G). Lower and upper bounds are obtained for λw1 and EW(G) and the respective extremal graphs are characterised. Further we consider a set of 22 benzenoid hydrocarbons and calculate their graph energy and edge mass energy by drawing its molecular graphs. The correlation between physiochemical properties of benzenoid hydrocarbons, molecular descriptors and graph energies are obtained and regression models are studied to check the predictability of physiochemical properties of benzenoid hydrocarbons with E(G) and EW(G).

Vol. 9(6)
Openalex Percentile: Top 79%
Graph theory and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.