Visualizing Co-Authorship Networks in Hidden Curriculum Research based on Web of Science since 1980 to 2019: A Scientometric Analysis

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Information Science and Epistemology, Shahid Madani University of Azerbaijan.

2 Associate Professor of the Department of Educational and Curriculum Methods and Programs, University of Tehran.

Abstract

The aim of this study is to analyze the scientific outputs of the hidden curriculum area based on scientometric indicators. This applied and quantitative study was performed using scientometric techniques (co-authorship and word occurrence) and social network analysis. The study sample was 1076 documents retrieved from the Web of Science from 1980 to 2019. In order to analysis the data the software Text Statistic Analyzer, ISI.exe, UCINET 6, VOSviwer, SPSS 20, and Excel were used. The findings indicated that the predominant type of document was journal article and in English language. The documents on hidden curriculum were in the database since 1980, and most of the documents were indexed in the Social Sciences Citation Index, Science Citation Index Expanded and Emerging Sources Citation Index respectively. A large number of papers were single author; papers with two and three authors were in next position. Researchers from the United States, Canada and the United Kingdom have played a key role in the co-authorship network. Hidden curriculum, medical education, and curriculum were the three most frequent keywords in the field. Based on Spearman association there was a significant relationship between network centrality measures and rate of citations to author, institution and country.

Keywords

References

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