مجله علمسنجی کاسپین (May 2024)
Co-word analysis of "cloud computing" review articles indexed in PubMed
Abstract
Background and aim: In co-word analysis, it is assumed that the most frequent words have a greater impact on a subject area compared to the less frequent words. The purpose of the current research is co-word analysis of review articles on the subject of "cloud computing" indexed in the PubMed database in 2009-2022 time period. Materials and methods: The current research is applied in terms of nature which utilized co-word analysis to analyze the data. The statistical population included 169 review articles on the topic of "cloud computing" indexed in the PubMed database in 2009 to 2022 period. The total of 57 articles lacked keywords which were excluded from the study. The required data was retrieved from the mentioned database by entering the word "cloud computing" in the subject field which were subsequently added to the Excel software. Voyant Tools software was used for co-word analysis. Findings: Based on the maps obtained from co-word analysis, keywords fog computing, data computing, cloud database, Internet of Things, cloud data, cloud challenge, cloud technology, cloud systems, health systems and cloud overlapped the most with the term cloud computing. Drawing maps of co-word at different time periods under investigation illustrates changes and stability in the concepts and words related to the field of informatics. New concepts emerged as a recombination of existing words interacting with developments and new technologies. Conclusion: The most frequent word in cloud computing review articles in all the texts indexed in PubMed among the words cloud computing, data computing, cloud database, Internet of Things, cloud data, cloud challenge, cloud technology, cloud systems , has been health and cloud systems in which the terms "data computing" and "fog computing" overlaped the most with cloud computing.
