A Cross-Vertex Embedding Approach toward Understanding SARS-CoV-2 Variability

Biswas, Sourav; Bandyopadhyay, Sanghamitra

doi:10.1109/iccca49541.2020.9250807

2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA) 2020

DOI: 10.1109/iccca49541.2020.9250807

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A Cross-Vertex Embedding Approach toward Understanding SARS-CoV-2 Variability

Sourav Biswas

Sanghamitra Bandyopadhyay

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2022

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Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research

Biswas

Bhattacharyya

Bandyopadhyay

2022

Trans Indian Natl. Acad. Eng.

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A network is often an obvious choice for modeling real-life interconnected systems, where the nodes represent interacting objects and the edges represent their associations. There has been immense progress in complex network analysis with methods and tools that can provide important insights into the respective scenario. In the advancement of information technology and globalization, the amount of data is increasing day by day, and it is indeed incomprehensible without the help of network science. This work highlights how we can model multiple interaction scenarios under a single umbrella to uncover novel insights. We show that a varying scenario gets reflected by the change of topological patterns in interaction networks. We construct multi-scenario graphs, a novel framework proposed by us, from real-life environments followed by topological analysis. We focus on two different application areas: analyzing geographical variations in SARS-CoV-2 and studying topic similarity in citation patterns.

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Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research

Biswas

Bhattacharyya

Bandyopadhyay

2022

Trans Indian Natl. Acad. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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A Cross-Vertex Embedding Approach toward Understanding SARS-CoV-2 Variability

Cited by 1 publication

References 11 publications

Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research

Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research

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