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  • 标题:Representation of the information about covid-19: semantic network of article titles in the Web of Science
  • 本地全文:下载
  • 作者:Bruna Lessa ; Eneida Santana
  • 期刊名称:RECIIS - Electronic Journal of Communication, Information & Innovation in Health
  • 电子版ISSN:1981-6278
  • 出版年度:2022
  • 卷号:16
  • 期号:1
  • DOI:10.29397/reciis.v16i1.2405
  • 语种:English
  • 出版社:Institute of Communication and Scientific and Technological Information in Health
  • 摘要:This article seeks to represent the relationships between the most relevant terms of the researches about the new coronavirus (SARS-CoV-2) indexed in the Web of Science from 2019 December to 2020 May. Characterized as an exploratory and descriptive research, the investigation method and technical procedures are based on the Concept Theory, by Ingetraut Dahlberg, for the conceptual analysis, and on the Social Network Analysis approach as well as on complex networks, for the structural analysis of the semantic network created from article titles. The results showed a network with a topological structure characterized as a small world, with some similar connections. The term ‘covid-19’ presents high transitivity in strongly connected groups, which comprise terms from different domains of knowledge and, sometimes, little related in the disciplinary context of the science. The conceptual relationship between the terms is functional. It was concluded that the interconnection between terms from different domains of knowledge generates groups of emerging terms, enhancing the urgency of interdisciplinary researches to understand the term that in this work is in focus – ‘covid-19’.
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