A New Algorithm for Computing the Distance and the Diameter in Circulant Graphs

In the present study, we focus on circulant graphs, Cn(S), with set of vertices {0,1,…,n−1} and in which two distinct vertices i and j are adjacent if and only if |i−j|n∈S, where S is a generating set. Despite their regularity, there are currently no established formulas to accurately determine the distance and the diameter of circulant graphs. In light of this context, we present in this paper a novel approach, which relies on a simple algorithm, capable of yielding formulas for the distance and the diameter of circulant graphs without implementing any graph.

Authors

Institutions

Publication Details

Journal
Algorithms
Published
2025-05-01
DOI
https://doi.org/10.3390/a18050261
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

A New Algorithm for Computing the Distance and the Diameter in Circulant Graphs

Laila Loudiki, Mustapha Kchikech
Algorithms
Graph Labeling and Dimension Problems
article

A New Algorithm for Computing the Distance and the Diameter in Circulant Graphs

Laila Loudiki, Mustapha Kchikech
article en

Abstract

In the present study, we focus on circulant graphs, Cn(S), with set of vertices {0,1,…,n−1} and in which two distinct vertices i and j are adjacent if and only if |i−j|n∈S, where S is a generating set. Despite their regularity, there are currently no established formulas to accurately determine the distance and the diameter of circulant graphs. In light of this context, we present in this paper a novel approach, which relies on a simple algorithm, capable of yielding formulas for the distance and the diameter of circulant graphs without implementing any graph.

AlgorithmsVol. 18(5)
Cadi Ayyad University (MA)
Openalex Percentile: Top 90%
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.