Co-Authorship Network and Scientific Collaboration Pattern in ‘Journal of Virology’: A Scientometrics Analysis

vishakha vishakha; Sarangapani Ramaswamy

Abstract

This study analysed the scientific structure and evolution pattern of the articles which published in ‘Journal of Virology’ from 1989-2020, data were retrieved from Web of Science core collection. A total of 38133 records were extracted to calculate collaboration and authorship pattern, co-authorship network and authorship ranking and indices. Software such as Bibexcel, VOSviewer and Pajek were mainly used for drawing the maps and analysing the data. In authorship pattern, the highest number of scientific publications were devoted to the articles written by four authors (14.99%). The dominance of multi-authored papers over single-authored papers with more than 98% of all papers. It found that the collaborative coefficient (CC) is 0.76, and the degree of collaboration (DC) is 0.998 during the mentioned years, which represents the number of single-authored articles is very low. The paper presents the method and potential applications of co-authorship network, and the main authors appraise the dynamics of the virology authorship network from published papers in the Journal of virology via bibliometric analysis.

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