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Consensus formation in science modeled by aggregated bibliographic coupling
Authors:Jeppe Nicolaisen  Tove Faber Frandsen
Institution:1. Royal School of Library and Information Science, Birketinget 6, DK-2300, Copenhagen S., Denmark;2. University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark;1. Department of Library and Information Science, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea;2. Department of Information and Library Science, Indiana University, Bloomington, IN, USA;1. IMT Lucca Institute for Advanced Studies, 55100 Lucca, Italy;2. Istituto Applicazioni Calcolo C.N.R., Rome, Italy;3. Freiburg Institute for Advanced Studies, Albertstrasse, 19, D-79104 Freiburg, Germany;1. Max Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany;2. Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany;1. International Joint Informatics Laboratory (IJIL), Nanjing University, Nanjing, 210023, China;2. International Joint Informatics Laboratory (IJIL), University of Illinois, Champaign, United States;3. Jiangsu Key Laboratory of Data Engineering and Knowledge Service, School of Information Management, Nanjing University, Nanjing, 210023, China
Abstract:The level of consensus in science has traditionally been measured by a number of different methods. The variety is important as each method measures different aspects of science and consensus. Citation analytical studies have previously measured the level of consensus using the scientific journal as their unit of analysis. To produce a more fine grained citation analysis one needs to study consensus formation on an even more detailed level – i.e. the scientific document or article. To do so, we have developed a new technique that measures consensus by aggregated bibliographic couplings (ABC) between documents. The advantages of the ABC-technique are demonstrated in a study of two selected disciplines in which the levels of consensus are measured using the proposed technique.
Keywords:
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