On four Sombor-index-like graph invariants of chemical graphs with a given order, number of edges and pendent vertices

Recently, Gutman constructed six novel graph invariants in view of geometric arguments and defined them as Sombor-index-like graph invariants, denoted by S1O, S2O,???, S6O. Compared with some popular and commonly used indices, nearly all these six graph invariants have high accuracy in predicting physical and chemical properties. Therefore, in this article, we obtain a lower bound on four Sombor-index-like graph invariants (S1O, S2O, S5O and S6O) for all chemical (n, m, k)-graphs (chemical graphs of order n having m edges and k pendent vertices), and characterize those chemical (n, m, k)-graphs achieving the extremal value.

Authors

Institutions

Publication Details

Journal
Filomat
Published
2025-01-01
DOI
https://doi.org/10.2298/fil2504279d
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 four Sombor-index-like graph invariants of chemical graphs with a given order, number of edges and pendent vertices

Yinzhen Mei, Lei Zhang, Jianwei Du, Xiaoling Sun
Filomat
Graph theory and applications
article

On four Sombor-index-like graph invariants of chemical graphs with a given order, number of edges and pendent vertices

Yinzhen Mei, Lei Zhang, Jianwei Du, Xiaoling Sun
article en

Abstract

Recently, Gutman constructed six novel graph invariants in view of geometric arguments and defined them as Sombor-index-like graph invariants, denoted by S1O, S2O,???, S6O. Compared with some popular and commonly used indices, nearly all these six graph invariants have high accuracy in predicting physical and chemical properties. Therefore, in this article, we obtain a lower bound on four Sombor-index-like graph invariants (S1O, S2O, S5O and S6O) for all chemical (n, m, k)-graphs (chemical graphs of order n having m edges and k pendent vertices), and characterize those chemical (n, m, k)-graphs achieving the extremal value.

FilomatVol. 39(4)
North University of China (CN)
Openalex Percentile: Top 76%
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.