Topological and Thermodynamic Entropy Measures for COVID-19 Pandemic through Graph Theory

Topological and Thermodynamic Entropy Measures for COVID-19 Pandemic through Graph Theory

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the global pandemic, coronavirus disease-2019 (COVID-19) which has resulted in 60.4 million infections and 1.42 million deaths worldwide. Mathematical models as an integral part of artificial intelligence are designed for contac...

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Bibliographic Details
Main Authors: G. Kirithiga Nandini, R. Sundara Rajan, A. Arul Shantrinal, T. M. Rajalaxmi, Indra Rajasingh, Krishnan Balasubramanian
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Symmetry
Subjects:
COVID-19
pandemic trees
Cayley trees
entropy of pandemic trees
corona product of graphs
topological indices
Online Access:https://www.mdpi.com/2073-8994/12/12/1992

Internet

https://www.mdpi.com/2073-8994/12/12/1992

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