An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks
Biological proceedings are well characterized by solid illustrations for communication networks. The framework of biological networks has to be considered together with the expansion of infectious diseases like coronavirus. Also, the graph entropies have established themselves as the information the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/1974642 |
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| _version_ | 1850230120826011648 |
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| author | Muhammad Aamer Rashid Sarfraz Ahmad Muhammad Kamran Siddiqui Shazia Manzoor Mlamuli Dhlamini |
| author_facet | Muhammad Aamer Rashid Sarfraz Ahmad Muhammad Kamran Siddiqui Shazia Manzoor Mlamuli Dhlamini |
| author_sort | Muhammad Aamer Rashid |
| collection | DOAJ |
| description | Biological proceedings are well characterized by solid illustrations for communication networks. The framework of biological networks has to be considered together with the expansion of infectious diseases like coronavirus. Also, the graph entropies have established themselves as the information theoretic measure to evaluate the architectural information of biological networks. In this article, we examined conclusive biochemical networks like t-level hypertrees along with the corona product of hypertrees with path. We computed eccentricity-based indices for the depiction of aforementioned theoretical frameworks of biochemical networks. Furthermore, explicit depiction of the graph entropies with these indices is also measured. |
| format | Article |
| id | doaj-art-217937f16f7f4b839ee1553477fbfc84 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-217937f16f7f4b839ee1553477fbfc842025-08-20T02:03:58ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/19746421974642An Analysis of Eccentricity-Based Invariants for Biochemical HypernetworksMuhammad Aamer Rashid0Sarfraz Ahmad1Muhammad Kamran Siddiqui2Shazia Manzoor3Mlamuli Dhlamini4Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanDepartment of Applied Mathematics, National University of Science and Technology, Bulawayo, ZimbabweBiological proceedings are well characterized by solid illustrations for communication networks. The framework of biological networks has to be considered together with the expansion of infectious diseases like coronavirus. Also, the graph entropies have established themselves as the information theoretic measure to evaluate the architectural information of biological networks. In this article, we examined conclusive biochemical networks like t-level hypertrees along with the corona product of hypertrees with path. We computed eccentricity-based indices for the depiction of aforementioned theoretical frameworks of biochemical networks. Furthermore, explicit depiction of the graph entropies with these indices is also measured.http://dx.doi.org/10.1155/2021/1974642 |
| spellingShingle | Muhammad Aamer Rashid Sarfraz Ahmad Muhammad Kamran Siddiqui Shazia Manzoor Mlamuli Dhlamini An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks Complexity |
| title | An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks |
| title_full | An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks |
| title_fullStr | An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks |
| title_full_unstemmed | An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks |
| title_short | An Analysis of Eccentricity-Based Invariants for Biochemical Hypernetworks |
| title_sort | analysis of eccentricity based invariants for biochemical hypernetworks |
| url | http://dx.doi.org/10.1155/2021/1974642 |
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