The present study tries to analyze and illustrate the indexed scientific productions related to Arabic literature researches in the Web of Science citation platform in order to help scientific policy making in this field. The current research is of an applied type and has been carried out using the methods of co-lexical analysis and network analysis. The research community includes all indexed information records related to Arabic literature in the Web of Science platform from the beginning to September 2023. A number of 881 information records, including articles, books, editor's remarks, conference abstracts, notes, etc., have been used in this research. The data analysis has been done using three softwares: Ves Viewer, Ucint and Babel Excel. Data analysis showed that keywords such as Arabic literature, translation, and modern Arabic literature were the most frequent keywords in the field of Arabic literature, respectively. Also, keywords such as: "Asian Studies-Literature", "Literary Theory & Criticism-Literature" and "History-Religion" have the most co-occurrence among the studied texts. The cluster analysis of the target keywords showed that this area includes 11 main clusters. The most important clusters based on synonym analysis showed that cluster one with 9 keywords is mainly related to the subject of Arabic literature, which has a stronger relationship with keywords such as "pedagogy" and "nahda".In terms of the amount of scientific productions in the field of Arabic literature, the United States of America is at the top with 198 degrees, and the United Kingdom ranks second with a difference of 134 degrees.
The present study tries to analyze and illustrate the indexed scientific productions related to Arabic literature researches in the Web of Science citation platform in order to help scientific policy making in this field. The current research is of an applied type and has been carried out using the methods of co-lexical analysis and network analysis. The research community includes all indexed information records related to Arabic literature in the Web of Science platform from the beginning to September 2023. A number of 881 information records, including articles, books, editor's remarks, conference abstracts, notes, etc., have been used in this research. The data analysis has been done using three softwares: Ves Viewer, Ucint and Babel Excel. Data analysis showed that keywords such as Arabic literature, translation, and modern Arabic literature were the most frequent keywords in the field of Arabic literature, respectively. Also, keywords such as: "Asian Studies-Literature", "Literary Theory & Criticism-Literature" and "History-Religion" have the most co-occurrence among the studied texts. The cluster analysis of the target keywords showed that this area includes 11 main clusters. The most important clusters based on synonym analysis showed that cluster one with 9 keywords is mainly related to the subject of Arabic literature, which has a stronger relationship with keywords such as "pedagogy" and "nahda".In terms of the amount of scientific productions in the field of Arabic literature, the United States of America is at the top with 198 degrees, and the United Kingdom ranks second with a difference of 134 degrees.
The present study tries to analyze and illustrate the indexed scientific productions related to Arabic literature researches in the Web of Science citation platform in order to help scientific policy making in this field. The current research is of an applied type and has been carried out using the methods of co-lexical analysis and network analysis. The research community includes all indexed information records related to Arabic literature in the Web of Science platform from the beginning to September 2023. A number of 881 information records, including articles, books, editor's remarks, conference abstracts, notes, etc., have been used in this research. The data analysis has been done using three softwares: Ves Viewer, Ucint and Babel Excel. Data analysis showed that keywords such as Arabic literature, translation, and modern Arabic literature were the most frequent keywords in the field of Arabic literature, respectively. Also, keywords such as: "Asian Studies-Literature", "Literary Theory & Criticism-Literature" and "History-Religion" have the most co-occurrence among the studied texts. The cluster analysis of the target keywords showed that this area includes 11 main clusters. The most important clusters based on synonym analysis showed that cluster one with 9 keywords is mainly related to the subject of Arabic literature, which has a stronger relationship with keywords such as "pedagogy" and "nahda".In terms of the amount of scientific productions in the field of Arabic literature, the United States of America is at the top with 198 degrees, and the United Kingdom ranks second with a difference of 134 degrees.