Combination of research questions and methods: A new measurement of scientific novelty |
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| Affiliation: | 1. School of Information Management, Wuhan University, Wuhan, Hubei, China;2. Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan, Hubei, China;3. School of Information Sciences, The University of Tennessee, Knoxville, TN, 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. Center for Studies of Information Resources, Wuhan University, Wuhan 430072, China;2. School of Information Management, Wuhan University, Wuhan 430072, China;1. WISE Lab, Institute of Science of Science and S&T Management, Dalian University of Technology, Dalian, China;2. Vanderbilt University, Nashville, TN, United States;2. Department of Industrial Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea;1. GESIS – Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667 Cologne, Germany;2. Complexity Science Hub Vienna, Josefstädter Straße 39,1080 Vienna, Austria;3. ZBW – Leibniz Information Centre for Economics, Düsternbrooker Weg 120, 24105 Kiel, Germany;4. Heinrich-Heine-University Düsseldorf, Universitätsstr. 1, 40225 Düsseldorf, Germany |
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| Abstract: | As critical building blocks of scientific research, research questions and research methods are put forward to reveal the nature of a publication's scientific novelty. Although existing studies have examined scientific novelty from multiple combination-based views, the temporal and semantic complexity of research questions and methods remains to be fully addressed. To remedy this, we introduce a new approach to measuring the novelty of papers from the perspective of question-method combination. Specifically, we demonstrated a life-index novelty measurement based on the frequency and age of question terms and method terms. Furthermore, by using deep learning and representation learning techniques, we proposed a semantic novelty measurement algorithm based on the semantic similarity of terms. By using the dataset of papers collected from ACM Digital Library for evaluation, the effectiveness of our methods was evaluated by case studies and statistical analysis. Our work innovatively integrates the age, frequency, and semantics of research methods and research questions that characterizes novelty in scientific publications. |
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