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Overview of the initial phase of scientific production on COVID-19 during the pandemic

Author

Listed:
  • Hernane Pereira

    (Centro Universitário SENAI CIMATEC
    Universidade do Estado da Bahia)

  • Ludmilla Monfort Oliveira Sousa

    (Universidade do Estado da Bahia)

  • Maíra Lima Souza

    (Instituto Federal da Bahia)

  • Thiago B. Murari

    (Centro Universitário SENAI CIMATEC)

  • Marcelo A. Moret

    (Centro Universitário SENAI CIMATEC
    Universidade do Estado da Bahia)

Abstract

A novel virus begin to spread worldwide in 2020. Many studies have been conducted to better understand the outbreak that continues to affect the global population. The contribution of the present study is to provide an overview of the papers published in the first months since recognition of the first case of COVID-19. For this, a survey of scientific publications during the first 5 months of the outbreak was conducted. Semantic, coauthorship and citation networks were used to identify the most relevant themes and authors during the cited period. Coauthorship indicated that scientists from several countries had joined forces in the fight against the pandemic to produce many joint scientific publications on the newly discovered virus and the disease it caused. Coauthorship was spread across 1170 author groups. Regarding the semantic network of titles, we found that it was a hybrid network because it presented the small-world phenomenon and a power law in its degree distribution and was therefore scale invariant. Considering the citation network, we found that the distribution of indegrees followed a power law, and with it, we observed the most cited works due to their importance to the area and their cumulative advantage. The coauthorship, semantic, and citation networks clearly show some characteristics of complex systems. Graphical abstract

Suggested Citation

  • Hernane Pereira & Ludmilla Monfort Oliveira Sousa & Maíra Lima Souza & Thiago B. Murari & Marcelo A. Moret, 2024. "Overview of the initial phase of scientific production on COVID-19 during the pandemic," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(7), pages 1-11, July.
    • Handle: RePEc:spr:eurphb:v:97:y:2024:i:7:d:10.1140_epjb_s10051-024-00734-z
    DOI: 10.1140/epjb/s10051-024-00734-z
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    References listed on IDEAS

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    1. Fadigas, I.S. & Pereira, H.B.B., 2013. "A network approach based on cliques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2576-2587.
    2. Pereira, Hernane Borges de Barros & Rosário, Raphael Silva do & Pereira, Eder Johnson de Area Leão & Moreira, Davidson Martins & Ferreira, Paulo & Miranda, José Garcia Vivas, 2022. "Network dynamic and stability on European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    3. Grilo, M. & Fadigas, I.S. & Miranda, J.G.V. & Cunha, M.V. & Monteiro, R.L.S. & Pereira, H.B.B., 2017. "Robustness in semantic networks based on cliques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 94-102.
    4. G. M. Teixeira & M. S. F. Aguiar & C. F. Carvalho & D. R. Dantas & M. V. Cunha & J. H. M. Morais & H. B. B. Pereira & J. G. V. Miranda, 2010. "Complex Semantic Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 333-347.
    5. Phillips, J.C. & Moret, Marcelo A. & Zebende, Gilney F. & Chow, Carson C., 2022. "Phase transitions may explain why SARS-CoV-2 spreads so fast and why new variants are spreading faster," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    6. Pereira, H.B.B. & Fadigas, I.S. & Senna, V. & Moret, M.A., 2011. "Semantic networks based on titles of scientific papers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1192-1197.
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