Hamming index of product graphs

Let [Formula: see text] be a simple graph of order [Formula: see text]. The adjacency matrix of [Formula: see text] is a square matrix of order [Formula: see text], whose elements are [Formula: see text], if the corresponding vertices are adjacent and [Formula: see text], if the corresponding vertices are non-adjacent. Each row of the adjacency matrix is called as a string. The Hamming distance between two strings [Formula: see text] and [Formula: see text] is the number of positions at which their values differ. The sum of Hamming distances between each pair of vertices is the Hamming index of underlying graph. In this paper, the Hamming indices of different product graphs are obtained.

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Publication Details

Journal
Discrete Mathematics Algorithms and Applications
Published
2024-11-26
DOI
https://doi.org/10.1142/s1793830924501295
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
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article

Hamming index of product graphs

Sabitha D’Souza, A. Harshitha
Discrete Mathematics Algorithms and Applications
Graph Labeling and Dimension Problems
article

Hamming index of product graphs

Sabitha D’Souza, A. Harshitha
article en

Abstract

Let [Formula: see text] be a simple graph of order [Formula: see text]. The adjacency matrix of [Formula: see text] is a square matrix of order [Formula: see text], whose elements are [Formula: see text], if the corresponding vertices are adjacent and [Formula: see text], if the corresponding vertices are non-adjacent. Each row of the adjacency matrix is called as a string. The Hamming distance between two strings [Formula: see text] and [Formula: see text] is the number of positions at which their values differ. The sum of Hamming distances between each pair of vertices is the Hamming index of underlying graph. In this paper, the Hamming indices of different product graphs are obtained.

Discrete Mathematics Algorithms and ApplicationsVol. 17(08)
Manipal Academy of Higher Education (IN)
Openalex Percentile: Top 74%
Graph Labeling and Dimension Problems
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