Fortunato SCenter for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA. santo@indiana.edu barabasi@gmail.com.
Bergstrom CTDepartment of Biology, University of Washington, Seattle, WA 98195-1800, USA.
Börner KIndiana University Network Science Institute, Indiana University, Bloomington, IN 47408, USA.
Evans JADepartment of Sociology, University of Chicago, Chicago, IL 60637, USA.
Helbing DComputational Social Science, ETH Zurich, Zurich, Switzerland.
Milojević SCenter for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.
Petersen AMErnest and Julio Gallo Management Program, School of Engineering, University of California, Merced, CA 95343, USA.
Radicchi FCenter for Complex Networks and Systems Research, School of Informatics, Computing, and Engineering, Indiana University, Bloomington, IN 47408, USA.
Sinatra RCenter for Network Science, Central European University, Budapest 1052, Hungary.
Uzzi BKellogg School of Management, Northwestern University, Evanston, IL 60208, USA.
Vespignani AInstitute for Network Science, Northeastern University, Boston, MA 02115, USA.
Waltman LCentre for Science and Technology Studies, Leiden University, Leiden, Netherlands.
Wang DKellogg School of Management, Northwestern University, Evanston, IL 60208, USA.
Barabási ALCenter for Network Science, Central European University, Budapest 1052, Hungary. santo@indiana.edu barabasi@gmail.com.
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.