On Metric Dimension of Edge Comb Product of Symmetric Graphs

Consider a finite graph G that is simple, undirected, and connected. Let W be an ordered set of vertices with |W| = k. The representation of a vertex v is defined as an ordered k-tuple that consists of the distances from vertex v to each vertex in W. The set W is called a resolving set for G if the k-tuples for any two vertices in G are distinct. The metric dimension of G, denoted by dim(G), is the smallest possible size of such a set W. In this paper, we determine the metric dimension of edge comb product of trees with complete multipartites or petersen graphs.

Authors

Institutions

Publication Details

Journal
Jurnal Matematika UNAND
Published
2024-10-31
DOI
https://doi.org/10.25077/jmua.13.4.349-357.2024
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 Metric Dimension of Edge Comb Product of Symmetric Graphs

Tita Khalis Maryati, Fawwaz Fakhrurrozi Hadiputra, Dindin Sobiruddin
Jurnal Matematika UNAND
Graph Labeling and Dimension Problems
article

On Metric Dimension of Edge Comb Product of Symmetric Graphs

Tita Khalis Maryati, Fawwaz Fakhrurrozi Hadiputra, Dindin Sobiruddin
article en

Abstract

Consider a finite graph G that is simple, undirected, and connected. Let W be an ordered set of vertices with |W| = k. The representation of a vertex v is defined as an ordered k-tuple that consists of the distances from vertex v to each vertex in W. The set W is called a resolving set for G if the k-tuples for any two vertices in G are distinct. The metric dimension of G, denoted by dim(G), is the smallest possible size of such a set W. In this paper, we determine the metric dimension of edge comb product of trees with complete multipartites or petersen graphs.

Jurnal Matematika UNANDVol. 13(4)
Syarif Hidayatullah State Islamic University Jakarta (ID), The University of Melbourne (AU)
Openalex Percentile: Top 77%
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.