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Drawing a Scientific Map of Published Papers in the Field of Imam Reza (AS)

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Information Science and Epistemology, Allameh Tabatabai University, Tehran, Iran

2 Associate Professor of Education Dept. of Yadegar-e Emam Khomeini (RAH) Shahre Rey, Islamic Azad University, Tehran, Iran

Abstract

The main purpose was to draw a scientific network of research articles on the subject area of Imam Reza. The study was conducted with co-occurrence analysis of words and network analysis technique to identify the conceptual relationships between published papers on the subject of Imam Reza. 1305 articles focusing on Imam Reza were analyzed by comprehensive studies. Descriptive data were entered into Excel software to standardize and draw graphs. Ravromatrix was used to prepare symmetric matrices to draw coherent maps. The matrices were entered into the UCINet to calculate the degree of centrality of degree. VOSViewer software was also used to illustrate the maps. The research findings showed that writers such as Khalil Beigzadeh and Zahra Ghasemnejad are among the most prolific writers. The Ferdowsi University of Mashhad is also in the first rank of participation in publishing articles on the subject of Imam Reza. Researchers with the academic rank of assistant professor have been most involved in publishing the article. The field of Persian language and literature has the most active researchers in publishing articles. Authors such as Mansoureh Fassih-Ramandi, and Hossein Behravan, have a high ability to transfer information and knowledge in the network. Scientific disciplines such as educational sciences, and social research, are among the most popular disciplines in the interdisciplinary collaboration network with the highest degree of degree centrality. Universities such as Amin Law Enforcement Sciences, and Payame Noor, are among the most popular organizations active in the network of cooperation between scientific institutions supporting the publication of articles.

Keywords

References
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Knowledge Retrieval and Semantic Systems
Volume 9, Issue 32 - Serial Number 32
October 2022
Pages 35-68
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