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تحلیل و مصورسازی تولیدات علمی نمایه شده مرتبط با حیطه موضوعی ادبیات عربی در پایگاه استنادی وب آو ساینس
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نویسنده
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دهقان ضاد شهرضا رسول ,عبادالله عموقین جعفر ,نریمانی ایمان
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منبع
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پژوهشنامه نقد ادب عربي - 1403 - دوره : 15 - شماره : 1 - صفحه:48 -69
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چکیده
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هدف از پژوهش حاضر، تحلیل و مصورسازی تولیدات علمی نمایه شده مرتبط با حیطه موضوعی ادبیات عرب در پایگاه استنادی وب آو ساینس به منظور کمک به سیاست گذاری علمی در این حوزه است. پژوهش حاضر از نوع کاربردی و با استفاده از روش های تحلیل هم واژگانی و تحلیل شبکه انجام شده است. جامعه پژوهش، شامل کلیه رکورد های اطلاعاتی نمایه شده مرتبط با ادبیات عرب در پایگاه وب آو ساینس از ابتدا تا سپتامبر سال 2023 می باشد که تعداد آن 881 رکورد اطلاعاتی شامل مقاله، کتاب، سخن ویراستار، چکیده همایش، یادداشت و ... است. تجزیه و تحلیل داده ها با استفاده از سه نرم افزار وزویوور، یوسینت و بایب اکسل انجام شده است. تجزیه و تحلیل دادهها نشان داد که کلیدواژه های، arabic literature، translation و modern arabic literatureا به ترتیب کلیدواژه های پربسامد در حوزه ادبیات عرب بوده اند. همچنین کلیدواژههای «asian studies-literature» «literary theory & criticism -literature» و «history-religion» بیشترین همرخدادی را در میان متون مورد مطالعه داشتهاند. بررسی تحلیل خوشهای کلیدواژههای مورد نظر نشان داد که این حوزه شامل 11 خوشه اصلی است. مهمترین خوشههای مبتنی بر تحلیل همواژگانی نشان داد که خوشه یک با 9 کلیدواژه عمدتا به موضوع ادبیات عرب مربوط میشود که با کلیدواژههای pedagogy و nahda ارتباط قویتری دارد. . به لحاظ میزان تولیدات علمی در حوزه ادبیات عرب نیز، یالات متحده امریکا با 198 مدرک در صدر قرار دارد و کشور انگلیس تقریبا با اختلاف 134 مدرک رتبه دوم را کسب کرده است.
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کلیدواژه
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ادبیات عربی، تحلیل همواژگانی، همرخدادی واژگان، مصورسازی مفاهیم، نقشه های علم
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آدرس
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دانشگاه قم, دانشکده ادبیات و علوم انسانی, گروه زبان وادبیات عربی, ایران, دانشگاه قم, دانشکده ادبیات و علوم انسانی, گروه علوم اطلاعات و دانش شناسی, ایران, دانشگاه قم, دانشکده ادبیات و علوم انسانی, ایران
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پست الکترونیکی
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iman.narimani.1995@gmail.com
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analysis and visualization of the arabic citation index in the web of science platform
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Authors
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dehghanzad shahreza rasool ,ebadollah amoqin jafar ,narimani iman
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Abstract
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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.
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Keywords
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arabic literature ,co-lexical analysis ,co-occurrence of words ,visualization of concepts ,maps of science
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