نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه علم اطلاعات ودانش شناسی، دانشکده ادبیات و علوم انسانی، دانشگاه سراسری قم، شهر قم، کشور ایران
2 گروه علم اطلاعات و دانش شناسی دانشکده ادبیات و علوم انسانی دانشگاه سراسری قم شهر قم کشور ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Purpose: The present research has investigated the visualization of scientific productions with big data (big data) in the reference database "Web of Science" in the time efficiency (2010-2022) in Iran and Turkey.
Method: The current research is of an applied type, with a scientometric approach, and advanced search in "Web oScience" was used to collect data. The total number of extracted records in all three citation profiles of basic sciences, social sciences, arts and humanities was 77408, and all records were not selected. Finally, with data analysis software, the extracted records have been examined in "Web of Science" database. Data analysis was done using data mining software such as "USINET", "Viewer", "BibExcel".
Findings: The results of the research in the field of keyword cluster analysis showed that ten main clusters of the studied keywords were produced, the most important cluster related to information storage and retrieval processing using information technologies and the Internet of Things, artificial intelligence, cloud processing, machine learning and deep learning have been the most frequent keywords of the articles produced in the field of big data, the keywords "big data", "machine learning", "deep learning" and "Internet of things" in the level of Iran and Turkey in the database In addition, the examination of the most frequent co-occurrence of words showed the most co-occurrences between "engineering-electricity and electronics", "computer science-information systems", "computer science-theory and method" and "computer science, artificial intelligence". there is It should be added that this issue is important for researchers in the indexing of scientific fields in the "Web of Science" database in Iran and Turkey.
Conclusion: With the widespread use of different scientific sciences at the macro level of modern scientometric methods, including: advanced analysis techniques and methods such as illustrating scientific findings in various reference databases such as (Web of Science) and so on, which is a great help to researchers in the field of processing, storing and retrieving their scientific outputs at the transnational level, in addition to the fact that the advanced analysis of big data using scientometric methods in turn leads to It is aimed at improving the quality of scientific and research outputs of each researcher and identifying researches with a common theme in a specific field of knowledge.
کلیدواژه‌ها [English]
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