Calculating degree-based topological indices and m-polynomials for various interconnection networks

There are three different kinds of topological indices: spectrum-based, degree-based, and distance-based. We presented the -swapped network for -regular graphs in this study. We also computed various degree-based topological indices of the -swapped network for -regular graphs, eye, and -dimensional twisted cube network. The metrics used to analyze the abstract structural characteristics of networks are called topological indices. We also calculate each of the aforementioned networks M-polynomials. A graph can be used to depict an interconnection network’s structure. The processing nodes in the network are represented by vertices, while the links connecting the processor nodes are represented by edges. We can quickly determine the diameter and degree between the nodes based on the graph’s tpology. A key component of graph theory are graph invariants, which identify the structural characteristics of networks and graphs. Furthermore doescribed by graph invariants are computer, social, and internet networks.

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Publication Details

Journal
Open Journal of Discrete Applied Mathematics
Published
2024-12-31
DOI
https://doi.org/10.30538/psrp-odam2024.0096
Primary Topic
Interconnection Networks and Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Calculating degree-based topological indices and m-polynomials for various interconnection networks

Noha Mohammad Seyam, Adnan Khalil, Mohammed Alghamdi
Open Journal of Discrete Applied Mathematics
Interconnection Networks and Systems
article

Calculating degree-based topological indices and m-polynomials for various interconnection networks

Noha Mohammad Seyam, Adnan Khalil, Mohammed Alghamdi
article en

Abstract

There are three different kinds of topological indices: spectrum-based, degree-based, and distance-based. We presented the -swapped network for -regular graphs in this study. We also computed various degree-based topological indices of the -swapped network for -regular graphs, eye, and -dimensional twisted cube network. The metrics used to analyze the abstract structural characteristics of networks are called topological indices. We also calculate each of the aforementioned networks M-polynomials. A graph can be used to depict an interconnection network’s structure. The processing nodes in the network are represented by vertices, while the links connecting the processor nodes are represented by edges. We can quickly determine the diameter and degree between the nodes based on the graph’s tpology. A key component of graph theory are graph invariants, which identify the structural characteristics of networks and graphs. Furthermore doescribed by graph invariants are computer, social, and internet networks.

Open Journal of Discrete Applied MathematicsVol. 7(1)
Openalex Percentile: Top 70%
Interconnection Networks and Systems
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Calculating degree-based topological indices and m-polynomials for various interconnection networks — Noha Mohammad Seyam, Adnan Khalil, et al. · Open Journal of Discrete Applied Mathematics (2024) | TGRS Research Map | TGRS