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Showing 3 results for Network Analysis
Analysis and Visualization of Scientific Collaboration of Iran Universities of Medical Sciences Using Social Network Analysis Metrics Based on Web of Science Database
Sajjad Mohammadian , Esmaeil Vaziri,
Volume 11, Issue 1 (5-2017)
Abstract

Background and Aim: Research in the medical field requires large budgets, specialist human resources and modern equipment and instruments. Scientific collaboration is a way to overcome such problems. Main goal of this study was analyzing scientific collaboration of universities of medical sciences in different aspects.
Materials and Methods: In this research, by using scientometrics methods and social network analysis techniques, the Universities of Medical Sciences co-authorship network was mapped. Source of collecting Data, was Web Of Science database. For mapping and analyzing of scientific networks, we used Bibexcel, VOSviewer, Pajek and UCINET software.
Results: Shahid Beheshti University of Medical Sciences and Tehran University of Medical Sciences, with 933 co-authorship papers are in the first place in scientific collaboration among Iranian Universities of Medical Sciences. And at the international level, Shahid Beheshti University of Medical Sciences has more scientific collaboration than other Iranian universities with the University of Malaya. Tehran University of Medical Sciences, Shahid Beheshti University of Medical Sciences, Isfahan University of Medical Sciences, Tabriz University of Medical Sciences and Shiraz University of Medical Sciences, have significant position in terms of centrality index in co-authorship network.
Conclusion: Medical sciences researchers have very strong tendency to make scientific collaboration with Tehran University of Medical Sciences researchers. For this reason, scientific collaboration network has become a monopoly network around Tehran University of Medical Sciences. This form of collaboration prevents creation of opportunities for collaboration.


Mapping and Analyzing the Co-Authorship Network of Transgenic Researchers with a Network Analysis Approach
Maryam Azimi, Davoud Haseli, Hossein Dehdarirad, Farzaneh Fazli, Nahid Einollahi,
Volume 15, Issue 4 (10-2021)
Abstract
Background and Aim: Transgenic species are the ones whose genomes are genetically modified. The transgenic field is one of the areas that has a high importance and position in the world. Therefore, the aim of the present research is to draw and analyze the co-authorship network of researchers in transgenic subject area.
Materials and Methods: The type of this research is descriptive and was carried out using scientometric techniques such as co-authorship network and social network analysis indices. In this study, 23,456 articles by transgenic researchers indexed in the Web of Science database during the period 2010-2019 were retrieved. VOSviewer and UCINET software were used to draw the co-authorship map and analyze the network indicators.
Results: The scientific cooperation network of transgenic researchers was studied and analyzed using macro and micro indicators of the social network. The status of macro indicators was not appropriate and the network was poorly cohesive. So that, the network density was 0.027, the clustering coefficient was 0.834, the diameter was 15 and the average distance was 4.155. In terms of micro-indicators, the status of researchers in the network was determined in such a way that David Ayares had the most cooperation with other members and also Nam-Hai Chua played the most important role in communicating with people from different clusters of the network, finally, Yan Zhang had the shortest distance with other members of the network.
Conclusion: Based on the findings, it can be concluded that the co-authorship network of transgenic researchers has low cohesion and information is transmitted among members at a low speed. With respect to this, status of different researchers in this study was determined, the results of this study can be used to guide future collaborations, and encourage universities and scientific institutes to develop their interactions with each other and further strengthen collaborations. It should also be noted that according to the findings of the study in this field, Iranian researchers were not identified as key individuals in this network, which requires research on the status and position of Iranian researchers in the field of transgenics.
 

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.

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