Topological Evaluation of Certain Computer Networks by Contraharmonic-Quadratic Indices
Source abstract
Abstract
In various fields, different networks are used, most of the time not of a single kind; but rather a mix of at least two networks. These kinds of networks are called bridge networks which are utilized in interconnection networks of PC, portable networks, spine of internet, networks engaged with advanced mechanics, power generation interconnection, bio-informatics and substance intensify structures. Any number that can be entirely calculated by a graph is called graph invariants. Countless mathematical graph invariants have been portrayed and utilized for connection investigation during the latest twenty years. Nevertheless, no trustworthy evaluation has been embraced to pick, how much these invariants are associated with a network graph or sub-atomic graph. In this paper, it will discuss three unmistakable varieties of bridge networks with an incredible capacity of assumption in the field of computer science, chemistry, physics, drug industry, informatics and arithmetic in setting with physical and manufactured developments and networks, since Contraharmonic-quadratic invariants (CQIs) are recently presented and have different figure qualities for different varieties of bridge graphs or networks. The study settled the geography of bridge graphs/networks of three novel sorts with two kinds of CQI and Quadratic-Contraharmonic Indices (QCIs). The deduced results can be used for the modeling of the above-mentioned networks.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Graph theory and applications · Computational Drug Discovery Methods · Complex Network Analysis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
Show source-provided references
1. Combination methods for identifying influential nodes in networks10.1142/S0129183115500679 ↗
2. L. Huang, J. Wang and M. Cheng, “Coded caching for combination networks with multiaccess,” ArXiv:2108.09612 [cs, math], vol. 1, no. 1, pp. 1–14, 2021.
3. Feature combination networks for the interpretation of statistical machine learning models: Application to Ames mutagenicity10.1186/1758-2946-6-8 ↗
4. From independent sets and vertex colorings to isotropic spaces and isotropic decompositions: Another bridge between graphs and alternating matrix spaces10.1137/19M1299128 ↗
5. The vertex PI index and szeged index of bridge graphs10.1016/j.dam.2008.09.008 ↗
6. Contraharmonic quadratic index of certain nanostar dendrimers
7. Viscosity models for ionic liquids and their mixtures10.1039/D0CP05787H ↗
8. Quantitative structure-property relationships (QSPR) of valency based topological indices with COVID-19 drugs and application10.1016/j.arabjc.2021.103240 ↗
9. Computation of topological indices of certain networks10.1016/j.amc.2014.04.091 ↗
10. Sombor index of some nanostructures
11. New k-banhatti topological indices10.22457/ijfma.v12n1a4 ↗
12. On k banhatti indices of graphs
13. Computing the topological indices for certain families of graphs
14. Spectral properties of the He matrix of hexagonal systems
15. Computing eccentricity-based topological indices of 2-power interconnection networks10.1155/2020/3794592 ↗
16. Computation of irregularity indices of certain computer networks
17. Study of topology of block shift networks via topological indices10.22199/issn.0717-6279-2020-04-0055 ↗
18. Computing topological indices of certain networks
19. Framework-topology-dependent catalytic activity of zirconium-based (porphinato) zinc (II) MOFs10.1021/jacs.6b09113 ↗
20. On certain topological indices of silicate, honeycomb and hexagonal networks
21. On topological indices for new classes of benes network10.1155/2021/6690053 ↗
22. Applying k-vertex cardinality constraints on a Neo4j graph database10.1016/j.future.2020.09.036 ↗
23. Göller · Artificial Intelligence in Drug Design · 2022 · 1 · 61
24. Graph theory applied to microelectronics intergranular relations10.1080/00150193.2020.1839265 ↗
25. Load balancing framework for cross-region tasks in cloud computing10.32604/cmc.2022.019344 ↗
26. Nonlocal graph theory based transductive learning for hyperspectral image classification10.1016/j.patcog.2021.107967 ↗
27. Machine-learning mathematical structures
28. K-Banhatti sombor invariants of certain computer networks10.32604/cmc.2022.028406 ↗
29. Machine learning-based botnet detection in software-defined network: A systematic review10.3390/sym13050866 ↗