Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process |
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| Institution: | 1. School of Information Management, Wuhan University, Wuhan 430072, China;2. Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan 430072, China;3. Department of Information Management, Peking University, Beijing 100871, China;1. Department of Mathematics, Louisiana State University, Baton Rouge, LA, USA;2. Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA;3. Graduate Program in Data Science, New College of Florida, Sarasota, FL, USA;4. Department of Experimental Statistics, Louisiana State University, Baton Rouge, LA, USA;1. Warsaw University of Technology, Faculty of Mathematics and Information Science, ul. Koszykowa 75, Warsaw 00-662, Poland;2. Deakin University, School of IT, Geelong, VIC 3220, Australia;3. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, Warsaw 01-447, Poland;4. Warsaw University of Technology, Faculty of Physics, ul. Koszykowa 75, Warsaw 00-662, Poland;1. Science Policy and Strategy Department Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany;2. Ludwig-Maximilians-Universität Munich, Department of Sociology, Konradstr. 6, 80801 Munich, Germany;1. Department of Physics, University of Thessaloniki, and Center of Complex Systems, Thessaloniki 54124, Greece;2. Department of Physics, Bar-Ilan University, Ramat-Gan 52900, Israel;1. Department of Library and Information Science Education, College of Education, Kongju National University, Gongju 32588, Republic of Korea;2. Department of Library and Information Science, Hannam University, Daejeon 34430, Republic of Korea;3. Department of Library and Information Science, Cheongju University, Cheongju 28503, Republic of Korea;4. Department of Library and Information Science, Yonsei University, Seoul 03722, Republic of Korea |
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| Abstract: | Knowledge diffusion is a significant driving force behind discipline development and technological innovation. Keyword is a unique knowledge diffusion trajectory, in which the sleeping beauty phenomenon sometimes appears. In this paper, we first put forward the concept of Keyword Sleeping Beauties (KSBs) on the basis of the scientific literature phenomenon of sleeping beauties. Then, we construct a parameter-free identification method to distinguish KSBs based on beauty coefficient criteria. Furthermore, we analyze the intrinsic and extrinsic influencing factors to explore the awakening mechanism of KSBs. The experiment results show that sleeping beauty phenomena also exist in the keyword diffusion trajectory and 284 KSBs are identified. The depth of sleep has a positive correlation with awakening intensity, while the length of sleep has a negative correlation with awakening intensity. In the two years of pre-awakening, KSBs tend to appear in the journals with a higher impact factor. In addition, the adoption frequency and the number of KSBs both increase obviously in the one year of pre-awakening. The findings of this paper enrich the patterns of knowledge diffusion and extend academic thinking on the sleeping beauty in science. |
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