Revan Index, PI Index and Revan Weighted PI Index of Möbius Function Graphs: A Comparative Study

In mathematical chemistry and graph theory, topological indices help in understanding the structure of molecular graphs. Recently, the Möbius function graph of a finite group has become a topic of interest due to its connections to algebra and topology. Despite their importance, the topological indices of Möbius function graphs have received relatively little attention. In this paper, we calculate and investigate the relationships between certain degree and distance-based topological indices, including the Revan index, the PI index, and the Revan weighted PI index, for the Möbius function graphs of finite groups.

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Publication Details

Journal
Journal of Informatics and Mathematical Sciences
Published
2025-06-30
DOI
https://doi.org/10.26713/jims.v17i2.3179
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
0.00
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article

Revan Index, PI Index and Revan Weighted PI Index of Möbius Function Graphs: A Comparative Study

Rani Jose, D. Susha, Meerra Sajeev
Journal of Informatics and Mathematical Sciences
Graph Labeling and Dimension Problems
article

Revan Index, PI Index and Revan Weighted PI Index of Möbius Function Graphs: A Comparative Study

Rani Jose, D. Susha, Meerra Sajeev
article en

Abstract

In mathematical chemistry and graph theory, topological indices help in understanding the structure of molecular graphs. Recently, the Möbius function graph of a finite group has become a topic of interest due to its connections to algebra and topology. Despite their importance, the topological indices of Möbius function graphs have received relatively little attention. In this paper, we calculate and investigate the relationships between certain degree and distance-based topological indices, including the Revan index, the PI index, and the Revan weighted PI index, for the Möbius function graphs of finite groups.

Journal of Informatics and Mathematical SciencesVol. 17(2)
Openalex Percentile: Top 77%
Graph Labeling and Dimension Problems
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