On Super Heronian Mean Labeling of Some Subdivision Graphs

Let \(f:V(G) \rightarrow \{1, 2, \dots, p+q \}\) be an injective function, where \(p=|V(G)|\) and \(q=|E(G)|\). For a vertex labeling \(f\) the induced edge labeling \(f^*(e=uv)\) is defined by,\[f^*(e)= \left \lfloor {\frac{f(u)+\sqrt{f(u)f(v)}+f(v)}{3}} \right \rfloor \ \text{or} \ \left \lceil\frac{f(u)+\sqrt{f(u)f(v)}+f(v)}{3} \right \rceil.\]Then \(f\) is called a super Heronian mean labeling if \(\{f(V(G))\} \cup \{f(e): e \in E(G)\}=\{1, 2, 3, \dots, p+q\}\). A graph which admits super Heronian mean labeling is called super Heronian mean graph.

Authors

Institutions

Publication Details

Journal
Communications in Mathematics and Applications
Published
2024-11-14
DOI
https://doi.org/10.26713/cma.v15i2.2162
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Super Heronian Mean Labeling of Some Subdivision Graphs

Ariel C. Pedrano, Lorelie S. Valencerina
Communications in Mathematics and Applications
Graph Labeling and Dimension Problems
article

On Super Heronian Mean Labeling of Some Subdivision Graphs

Ariel C. Pedrano, Lorelie S. Valencerina
article en

Abstract

Let \(f:V(G) \rightarrow \{1, 2, \dots, p+q \}\) be an injective function, where \(p=|V(G)|\) and \(q=|E(G)|\). For a vertex labeling \(f\) the induced edge labeling \(f^*(e=uv)\) is defined by,\[f^*(e)= \left \lfloor {\frac{f(u)+\sqrt{f(u)f(v)}+f(v)}{3}} \right \rfloor \ \text{or} \ \left \lceil\frac{f(u)+\sqrt{f(u)f(v)}+f(v)}{3} \right \rceil.\]Then \(f\) is called a super Heronian mean labeling if \(\{f(V(G))\} \cup \{f(e): e \in E(G)\}=\{1, 2, 3, \dots, p+q\}\). A graph which admits super Heronian mean labeling is called super Heronian mean graph.

Communications in Mathematics and ApplicationsVol. 15(2)
University of Southeastern Philippines (PH)
Openalex Percentile: Top 69%
Graph Labeling and Dimension Problems
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.