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Showing 2 results for Co-Authorship Networks
Analyzing the Collaboration Network of Global Scientific Outputs in the Field of Bibliotherapy in the Web of Science Database
Soheila Khoeini, Ali Reza Noruzi, Zeinab Jozi, Esmaeil Mostafavi,
Volume 15, Issue 6 (3-2022)
Abstract
Background and Aim: Bibliotherapy is a useful treatment for the prevention and treatment of mental disorders and has led to the formation of many scientific publications in this field. The purpose of this study was to investigate the publication trends in the field of bibliotherapy and visualize the structure of its scientific collaborations based on the Web of Science database during the period 1975 to 2020.
Materials and Methods: The present scientometric study was conducted by citation analysis and social network analysis. The statistical population includes 1032 documents published. HistCite, VOSveiwer, Pajek and UciNet software were used to analyze the data. The co-authorship networks were analyzed and drawn by the VOSviewer software.
Results: U.S., UK, and Australia were ranked first to third with 369, 148, and 91 documents respectively. The documents published by researchers from these three countries have received 10547, 3459, and 3041 citations, respectively. The Universities of Alabama, Nevada, and the Karolinska Institutet in Sweden published the most in this field, with 29, 26, and 21 documents. Scogin F, Cuijpers P, and Rohde P were the most prolific authors with 29, 21, and 17 documents, respectively. Miller WR, Cuijpers P, and Andersson G received the most citations with 2441, 2298, and 1750, citations respectively. UK with 63 degree centrality, U.S. the most influential country with a betweenness centrality of 191.450 and the closeness centrality of the 80 were the most influential countries, and Vrije Universiteit Amsterdam with a betweenness centrality of 1416.755 and a closeness centrality of 658 and the Karolinska Institute with a degree centrality of 43 was the most influential organizations. Rohde P with 39-degree centrality and Cuijpers P with 314.500 betweenness centrality and 821 closeness centrality were the most active author in the co-authorship networks in bibliotherapy. Journal of Clinical Counseling and Psychology was the most cited and the Journal of Poetry Therapy published the most documents.
Conclusion: Paying more attention than before to the cooperation of countries, universities and active authors in the field of bibliotherapy can lead to more knowledge and experience exchange in developed and developing countries.

Co-Authorship and Word Co-Occurrence Maps in of Endocrinology and Metabolism Scientific Publications of Iran
Fahimeh Mohammadi, Maryam Shekofteh, Maryam Kazerani,
Volume 18, Issue 3 (5-2024)
Abstract
Background and Aim: The growth and development of scientific fields depends on correct and accurate planning and a general and comprehensive understanding of the structure of these fields. Scientific maps are a type of scientometric methods that help to understand the current state of scientific fields and reveal their internal structure. The aim of the present study is to analyze co-authorship and word co-occurrence maps of scientific publications of Iran in the field of endocrinology and metabolism.
Materials and Methods: This is a cross-sectional scientometrics study. The research population is all scientific publications of Iran in the field of Endocrinology and Metabolism on the Web of Science. The co-authorship and co-word maps were analyzed using VOSviewer, Gephi, and NodeXL software. Network analysis was done using social network analysis indicators. Thematic clusters and emerging subjects were also identified through the examination of word co-occurrence networks.
Results: The total scientific publications of Iran in the field of endocrinology and metabolism on the Web of Science was 4847 documents. The co-authorship network is a type of sparse network. The value of the cluster coefficient of this network was 0.212 and its diameter was 11. The average degree of the co-authorship network (6.62) shows that each node is connected with about 6 other nodes on average. The diameter of the co-authorship network is 11. The most productive and influential outhors are Azizi F and Larijani B. Six thematic clusters were identified in the word co-occurrence network, the largest one is oxidative stress and gene expression, followed by the obesity and diabetes cluster. The word “autoimmunity” is one of the emerging words in this field.
Conclusion: Iran’s research in the field of Endocrinology and Metabolism shows an increasing trend, but there is little cooperation between the authors of the field. Their co-authorship networks are sparse, and the authors’ tendency to form clusters is low. Therefore, planning is needed to increase scientific cooperation and the density of networks. It is suggested that the researchers of this field pay attention to the thematic clusters of the co-word network and emerging subjects in the design of their future research.

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