{"title":"Research on interdisciplinarity of five-metrics in China based on Chinese Citation Data under the background of open science","authors":"Hongyu Zhao, Xu Wang","doi":"10.1177/01655515241263286","DOIUrl":null,"url":null,"abstract":"The theories, methods and techniques of bibliometrics, scientometrics, informetrics, webometrics and knowledgometrics together constitute Five-Metrics. Five-Metrics is one of the most active research fields in China’s library and information science (LIS), and the research on Five-Metrics in China is characterised by the diversity of disciplines. Quantitative analysis of interdisciplinary research in Five-Metrics of China reveals the disciplinary origin and knowledge structure of Chinese Five-Metrics, grasps the interdisciplinary patterns and laws of Five-Metrics, and helps promote international exchange and cooperation, innovation and development of Five-Metrics research in the context of open science. Based on the theory of knowledge flow, this study uses a combination of citation analysis, mathematical modelling analysis, social network analysis and statistical analysis. We study the interdisciplinary degree of Five-Metrics based on 20,528 publications and corresponding 207,530 reference records and 111,823 citing article records, using a combination of python, gephi, origin and other tools. The results show that the interdisciplinarity of Five-Metrics publications and knowledge flow at the macroscopic level is high, and interdisciplinarity of the cited references and citing articles of Five-Metrics is higher. At the microscopic level, there is a wide gap in the interdisciplinarity of Five-Metrics in different disciplines. In addition, this study identifies three interdisciplinary knowledge flow patterns of Five-Metrics of China. This study conducts a comprehensive analysis of the interdisciplinary Five-Metrics study in China based on the cited references, publications and citing articles.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"4 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/01655515241263286","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The theories, methods and techniques of bibliometrics, scientometrics, informetrics, webometrics and knowledgometrics together constitute Five-Metrics. Five-Metrics is one of the most active research fields in China’s library and information science (LIS), and the research on Five-Metrics in China is characterised by the diversity of disciplines. Quantitative analysis of interdisciplinary research in Five-Metrics of China reveals the disciplinary origin and knowledge structure of Chinese Five-Metrics, grasps the interdisciplinary patterns and laws of Five-Metrics, and helps promote international exchange and cooperation, innovation and development of Five-Metrics research in the context of open science. Based on the theory of knowledge flow, this study uses a combination of citation analysis, mathematical modelling analysis, social network analysis and statistical analysis. We study the interdisciplinary degree of Five-Metrics based on 20,528 publications and corresponding 207,530 reference records and 111,823 citing article records, using a combination of python, gephi, origin and other tools. The results show that the interdisciplinarity of Five-Metrics publications and knowledge flow at the macroscopic level is high, and interdisciplinarity of the cited references and citing articles of Five-Metrics is higher. At the microscopic level, there is a wide gap in the interdisciplinarity of Five-Metrics in different disciplines. In addition, this study identifies three interdisciplinary knowledge flow patterns of Five-Metrics of China. This study conducts a comprehensive analysis of the interdisciplinary Five-Metrics study in China based on the cited references, publications and citing articles.
期刊介绍:
The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.