COVID-19 Retracted Papers: A Review About Their Citations Network

  • Hugo Duca UFRJ
  • Ingrid Pacheco UFRJ
  • Giseli Rabello Lopes UFRJ
  • Maria Luiza M. Campos UFRJ
  • Jonice Oliveira UFRJ

Abstract


To help fight the COVID-19 pandemic, some researches were accelerated, resulting in many articles being hastily published, some of which were retracted. In the present work, social network analysis techniques and centrality and betweenness metrics are used to assess the influence of retracted articles on those that referred to them. As a result, it was found that the most referred retracted work had 2,745 citations, 648 articles refer to more than one retracted article and 7 retracted works refer to others in the same situation. In addition, it was found that 82.11% of the references were made after the retraction and that the most used words in the titles were associated with possible treatments for the disease.
Keywords: COVID-19, social network, retraction, Retracted articles

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Published
2021-07-18
DUCA, Hugo; PACHECO, Ingrid; LOPES, Giseli Rabello; CAMPOS, Maria Luiza M.; OLIVEIRA, Jonice. COVID-19 Retracted Papers: A Review About Their Citations Network. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 10. , 2021, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 13-24. ISSN 2595-6094. DOI: https://doi.org/10.5753/brasnam.2021.16121.

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