The new science of COVID-19: A Bibliographic and Network Analysis

Publication date: Jul 17, 2024

Since the outbreak of the COVID-19, there have been many scientific publications studying the COVID-19. The purpose of this study is to identify the research trend, collaboration pattern, most influential elements, etc. from scientific publications related to COVID-19 in 2020, by using bibliographic analysis and network analysis. In Chapter 1 and Chapter 2, motivation behind this paper is introduced. Some previous similar studies are discussed. Comparisons are made in different aspects, such as data collection methods, data analysis tools and methods, etc. Their advantages and limitations compared to this paper are also addressed. In Chapter 3, important concepts used in this paper related to bibliographic analysis such as h-index and g-index, and network analysis such as centrality measures and assortativity are introduced. Networks with small-world property and scale-free property will also be studied. In Chapter 4 and Chapter 5, the way the data are obtained for the analysis of this paper is introduced step by step. Full result is shown. In Chapter 6, conclusions are arrived. A general growing trend of the number of the publications is observed, due to the efforts made by scientific researchers. Meanwhile, measures should also be taken to encourage future study in this field.

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Concepts Keywords
Conducting Area
Covid19 Cited
Economics Collaboration
July Country
Pneumonia Covid
Figure
Index
Institution
Month
Network
Node
Nodes
Papers
Table
Weight

Semantics

Type Source Name
disease MESH COVID-19
disease VO population
disease IDO country
disease VO document
disease VO Viruses
disease MESH infections
disease VO volume
disease VO time
disease VO publication
disease IDO process
disease IDO history
drug DRUGBANK Coenzyme M
disease IDO occurrent
drug DRUGBANK Stavudine
drug DRUGBANK Hexocyclium
drug DRUGBANK Medical air
drug DRUGBANK Trihexyphenidyl
disease IDO object
disease IDO cell
drug DRUGBANK Fenamole
disease VO USA
drug DRUGBANK Pentaerythritol tetranitrate
disease MESH pneumonia
disease MESH syndrome
drug DRUGBANK Hydroxychloroquine
drug DRUGBANK Esomeprazole
disease VO URE
disease VO frequency
drug DRUGBANK Ranitidine
disease IDO algorithm
drug DRUGBANK (S)-Des-Me-Ampa
drug DRUGBANK Trestolone
disease VO Canada

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