Science of science.
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Fortunato S
Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA. santo@indiana.edu barabasi@gmail.com.
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Bergstrom CT
Department of Biology, University of Washington, Seattle, WA 98195-1800, USA.
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Börner K
Indiana University Network Science Institute, Indiana University, Bloomington, IN 47408, USA.
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Evans JA
Department of Sociology, University of Chicago, Chicago, IL 60637, USA.
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Helbing D
Computational Social Science, ETH Zurich, Zurich, Switzerland.
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Milojević S
Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.
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Petersen AM
Ernest and Julio Gallo Management Program, School of Engineering, University of California, Merced, CA 95343, USA.
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Radicchi F
Center for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.
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Sinatra R
Center for Network Science, Central European University, Budapest 1052, Hungary.
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Uzzi B
Kellogg School of Management, Northwestern University, Evanston, IL 60208, USA.
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Vespignani A
Institute for Network Science, Northeastern University, Boston, MA 02115, USA.
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Waltman L
Centre for Science and Technology Studies, Leiden University, Leiden, Netherlands.
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Wang D
Kellogg School of Management, Northwestern University, Evanston, IL 60208, USA.
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Barabási AL
Center for Network Science, Central European University, Budapest 1052, Hungary. santo@indiana.edu barabasi@gmail.com.
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Published in:
- Science (New York, N.Y.). - 2018
English
Identifying fundamental drivers of science and developing predictive models to capture its evolution are instrumental for the design of policies that can improve the scientific enterprise-for example, through enhanced career paths for scientists, better performance evaluation for organizations hosting research, discovery of novel effective funding vehicles, and even identification of promising regions along the scientific frontier. The science of science uses large-scale data on the production of science to search for universal and domain-specific patterns. Here, we review recent developments in this transdisciplinary field.
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Language
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Open access status
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bronze
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Identifiers
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Persistent URL
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https://sonar.ch/global/documents/36225
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