Representation of the information about covid-19: semantic network of article titles in the Web of Science

Authors

DOI:

https://doi.org/10.29397/reciis.v16i1.2405

Keywords:

Semantic network, Information organization, Covid-19, Scientific production, Interdisciplinarity.

Abstract

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’.

Author Biographies

Bruna Lessa, Universidade Federal da Bahia, Programa de Pós-Graduação em Ciência da Informação, Salvador, BA

Doutorado em Ciência da Informação pela Universidade Federal da Bahia.

Eneida Santana, Instituto Federal da Bahia. Camaçari, BA

Mestrado em Ciência da Informação pela Universidade Federal da Bahia.

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Published

2022-02-25

How to Cite

Lessa, B., & Santana, E. (2022). Representation of the information about covid-19: semantic network of article titles in the Web of Science. Revista Eletrônica De Comunicação, Informação & Inovação Em Saúde, 16(1). https://doi.org/10.29397/reciis.v16i1.2405

Issue

Vol. 16 No. 1 (2022): Dossiê Estudos métricos da informação científica em saúde, parte 2

Section

Metric studies of scientific healthcare information dossier

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