Dynamics of senses of new physics discourse: Co-keywords analysis |
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| Institution: | 1. Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics 20 Myasnitskaya Ulitsa, Moscow 101000, Russian Federation;2. American Association for the Advancement of Science 1200 New York Ave NW, Washington, 20005, DC, USA;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. 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;1. Max Planck Institute for Solid State Research, Heisenbergstr. 1, Stuttgart 70569 Germany;2. CAS, A Division of the American Chemical Society, Custom Services, 2540 Olentangy River Road-1505, Columbus, OH 43202, USA;3. Science Policy and Strategy Department, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, Munich 80539 Germany;1. WISE Lab, Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian, 116085, China;2. College of Information and Communication Engineering, Dalian Minzu University, Dalian, 116600, China |
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| Abstract: | The paper presents a longitudinal analysis of the evolution of new physics keywords co-occurrence patterns. For that, we explore the documents indexed in the INSPIRE database from 1989 to 2018. Our purpose is to quantify the knowledge structure of the fast-growing subfield of new physics. The development of a novel approach to keywords co-occurrence analysis is the main point of the paper. In contrast to traditional co-keyword network analysis, we investigate structures that unite physics concepts in different documents and bind different documents with the same physics concepts. We consider the structures that reveal relationships among concepts as topological and call them “physics senses”. Based on the notion of trajectory mutual information, the paper offers clustering of physics senses, determines their period of life, and constructs a classification of senses’ “authority”. |
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