Title: Unveiling the potential of complex network in coronavirus proliferation study

Authors: S. Sankararaman

Addresses: Department of Optoelectronics, University of Kerala, Trivandrum, Kerala, 695581, India

Abstract: The development of novel methods for understanding virus replication is the need of the time of the COVID-19 pandemic. The present work proposes a novel surrogate graph-based method for understanding SARS-CoV-2 replication. Constructing a time history pattern (THP) matrix from the video of the virus interaction with normal cells, the inertia moment (IM) and complex network features are determined. The variation of IM and the graph features are correlated with the proliferation of SARS-CoV-2. Thus, the work suggests the possibility of complex network and IM analyses to understand the kinetics of the virus infection.

Keywords: graph theory; coronavirus; proliferation; inertia moment; complex network.

DOI: 10.1504/IJBET.2023.133719

International Journal of Biomedical Engineering and Technology, 2023 Vol.43 No.1, pp.1 - 12

Received: 25 Apr 2022
Accepted: 25 Sep 2022
Published online: 02 Oct 2023 *

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