Science of Science

This is the first comprehensive overview of the exciting field of the 'science of science'.

Inhaltsverzeichnis

Introduction; Part I. The Science of Career: 1. Productivity of a scientist; 2. The H Index; 3. The Matthew Effect; 4. Age and Scientific Achievement; 5. Random Impact Rule; 6. The Q Factor; 7. Hot Streaks; Part II. The Science of Collaboration: 8. The increasing dominance of teams in science; 9. The Invisible College; 10. Coauthorship Networks; 11. Team Assembly; 12. Small and large teams; 13. Scientific Credit; 14. Credit Allocation; Part III. The Science of Impact: 15. Big Science; 16. Citation Disparity; 17. High Impact Papers; 18. Scientific Impact; 19. The Time Dimension of Science; 20. Ultimate Impact; Part IV. Outlook: 21. Can Science be Accelerated?; 22. Artificial Intelligence; 23. Bias and Causality in Science; Part V. Last thought; All the Science of Science: Appendix A1 Modeling team assembly; Appendix A2 Modeling Citations; References; Index.

Über den Autor / die Autorin

Dashun Wang is an Associate Professor at Kellogg School of Management and the founding director of the Center for Science of Science and Innovation, Northwestern University, Illinois. He is a recipient of the AFOSR Young Investigator Award and was named Poets and Quants Best 40 Under 40 Business School Professors in 2019.Albert-László Barabási is Robert Gray Dodge Professor of Network Science and Distinguished University Professor at Northeastern University, Boston, where he directs the Center for Complex Network Research. He holds appointments in the Departments of Physics and the College of Computer and Information Science, as well as in the Department of Medicine at Harvard Medical School and at Brigham and Women Hospital in the Channing Division of Network Science.

Zusammenfassung

This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of the research, this book is accessible to all scientists, policy makers, and administrators with an interest in the wider scientific enterprise.

Produktdetails

• Autoren: Barabasi Albert-Laszlo Barabasi, Albert-Laszlo (Northeastern University Barabasi, Albert-László Barabási, Wang Dashun Wang, Dashun Wang, Dashun (Northwestern University Wang, Wang Dashun
• Verlag: Cambridge University Press ELT
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 28.02.2021
• EAN: 9781108716956
• ISBN: 978-1-108-71695-6
• Seiten: 308
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Allgemeines, Lexika; Sozialwissenschaften, Recht,Wirtschaft > Medien, Kommunikation > Kommunikationswissenschaft; Data Mining, Science: general issues, SCIENCE / Physics / General, Physics, algorithms and data structures, Algorithms & data structures, Data analysis: general, Data science and analysis: general, Data capture and analysis, Data Capture & Analysis