Bibliographic coupling networks reveal the advantage of diversification in scientific projects |
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| Institution: | 1. Hasselt University, Belgium;2. KU Leuven, Belgium, University of Antwerp, Belgium;1. ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Facultad de Ingeniería en Electricidad y Computación, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, P.O. Box 09-01-5863, Ecuador;2. Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, 18071, Spain;1. Department of Library and Information Science, National Taiwan University, Taipei, Taiwan;2. Center for Research in Econometric Theory and Applications, National Taiwan University, Taipei, Taiwan;1. Center for Studies of Information Resources, School of Information Management, Wuhan University, Wuhan 430072, China;2. Center for Science, Technology and Education Assessment (CSTEA), Wuhan University, Wuhan 430072, China;3. Centre for R&D Monitoring (ECOOM) and Department of MSI, KU Leuven, Leuven 3000, Belgium;4. Department of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, China;5. School of Information Technology, Shangqiu Normal University, Shangqiu 476000, China;1. Institute of Scientific and Technical Information of China, Beijing 100038, P.R. China;2. College of Economics and Management, Beijing University of Technology, Beijing 100124, P.R. China;3. School of Information Resource Management, Renmin University of China, Beijing 100872, P.R. China;4. Business School, Shandong University of Technology, Zibo 255000, P.R. China;1. Department of Social and Political Sciences, University of Milan, Via Conservatorio 7, Milan, 20122, Italy;2. Department of Computer Science, University of Valencia, Avinguda de la Universitat s/n, Burjassot, 46100, Spain |
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| Abstract: | Scientific research project serves as a fundamental part of supporting research progress, the data of which can reflect the research behavior of scientists. We use data from the acknowledgements of papers published by the American Physical Society (APS) and focus on the patterns of the successfully established scientific research projects. We find that the number of articles published by each project and the number of projects acknowledged by each article both obey the power-law distribution. After constructing each project’s bibliographic coupling network, it can be found that there is sublinear relationship between project’s core research fields and project scale. We explore factors affecting projects’ outcome and find the advantage of diversification in scientific projects, i.e., the dispersion of research fields can lead to higher ratio of papers in top journals and higher originality of papers. Meanwhile, evolution of research fields indicates that a typical project tend to study the core topics first, and then explore other possible research directions. |
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