用图论分析COVID-19

Abaid ur Rehman Virik, Iqra Malik
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引用次数: 0

摘要

图论作为一种强大的显示、研究和计算工具,在生物数学中被广泛应用于处理各种生物问题。在微生物学领域,图形可以传达亚原子结构。其中细胞、质量或蛋白质可以表示为顶点,而相关成分可以视为边缘。因此,在比较图中可以通过拓扑指数计算来测量生物活性特性。在本文中,我们在很大程度上集中了冠状病毒图的一些拓扑列表。首先,我们给出了m多项式的一般类型。从m -多项式中,我们恢复了一些著名的基于度的拓扑表,如第一和第二萨格勒布指数、第二修正萨格勒布指数、兰迪奇指数、一般兰迪奇指数、对称除法指数、调和指数、逆和指数、增广萨格勒布指数。我们的结果是许多现有结果的扩展。
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Analysis of COVID-19 by Means of Graph Theory
As a powerful displaying, investigation and computational device, graph theory is widely used in biological mathematics to deal with various biology problems. In the field of microbiology, graphs can communicate the sub-atomic structure. Where cell, quality or protein can be indicated as a vertex, and the associate component can be viewed as an edge. Thusly, the biological activity characteristic can be measured via topological index computing in the comparing graphs. In this article, we for the most part concentrate some topological lists for the Corona virus graph. At first,we give a general type of M-polynomial. From the M-polynomial, we recoup some well-known degree-based topological lists, for example, First and Second Zagreb Indices, Second Modified Zagreb Index, Randic´ Index, General Randic´ Index, Symmetric Division Index, Harmonic Index, Inverse Sum Index, Augmented Zagreb Index. Our results are extensions of many existing results.
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