Study on Special Bipartite Graph through Topological Framework

A unique class of bipartite graphs named "Multi-K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2,2</inf> Ladder Graph" formed by linking multiple K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">{2,2}</inf> graphs in sequence, resulting in a structure that resembles and extends the traditional ladder graph has been presented. These graphs have a characteristic degree distribution, where the end vertices have fewer connections than the ones in the middle. We explore how minimal adjacency relationships among the vertices can be used to generate a topological space. Using this topological framework, we explore the concept of order of each vertex related to the induced adjacency topology. This perspective creates a bridge between graph theory and topology, opening up new possibilities for analyzing structured data and networks.

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Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/icaeca63854.2025.11012620
Primary Topic
Graph Labeling and Dimension Problems
Type
article
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article

Study on Special Bipartite Graph through Topological Framework

K. Meena, D. Arivuoli, Vijeta Iyer
Graph Labeling and Dimension Problems
article

Study on Special Bipartite Graph through Topological Framework

K. Meena, D. Arivuoli, Vijeta Iyer
article en

Abstract

A unique class of bipartite graphs named "Multi-K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2,2</inf> Ladder Graph" formed by linking multiple K<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">{2,2}</inf> graphs in sequence, resulting in a structure that resembles and extends the traditional ladder graph has been presented. These graphs have a characteristic degree distribution, where the end vertices have fewer connections than the ones in the middle. We explore how minimal adjacency relationships among the vertices can be used to generate a topological space. Using this topological framework, we explore the concept of order of each vertex related to the induced adjacency topology. This perspective creates a bridge between graph theory and topology, opening up new possibilities for analyzing structured data and networks.

Openalex Percentile: Top 85%
Graph Labeling and Dimension Problems
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