Scientific Metrics: Towards Analytical and Quantitative Sciences

Softcover Nachdruck of the original 1. Auflage 2017
ISBN: 978-981-13-5529-5
Verlag: Springer Nature Singapore

Buch, Englisch, 254 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 417 g

Reihe: Understanding Complex Systems

This book presents scientific metrics and its applications for approaching scientific findings in the field of Physics, Economics and Scientometrics. Based on a collection of the author’s publications in these fields, the book reveals the profound links between the measures and the findings in the natural laws, from micro-particles to macro-cosmos, in the economic rules of human society, and in the core knowledge among mass information. With this book the readers can gain insights or ideas on addressing the questions of how to measure the physical world, economics process and human knowledge, from the perspective of scientific metrics. The book is also useful to scientists, particularly to specialists in physics, economics and scientometrics, for promoting and stimulating their creative ideas based on scientific metrics.

Zielgruppe

Research

Autoren/Hrsg.

Ye, Fred Y.

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme

Inhaltsverzeichnis

Introduction.- I Physics: linked-metrics generates vortex-world physics The Linked-measure and Linked-field for Linking Micro-particles to Macro-cosmos with Dispelling Dark Matter and Dark Energy.- The Physical Linked-measure Works as Vortex with Linking to Turbulence.- The Clifford-Finslerian Linked-field Leads Branching Multiverse.- A Clifford-Finslerian Physical Unification and Fractal Dynamics.- A Vortex Mechanism Linking Micro-particle to Macro-galaxy without Supersymmetry.- The Physical Foundations of Information and the Unified Framework of Physics.- II Economics: complex metrics leads to complex economics A Probe into the Unification of Micro-Macro-Economics: Arrow-Debreu-Mundell-Fleming Model as the Standard Model.- The Commodity-Money Analytical Framework: A Unified Approach to Micro-Macro-Economics and Complex Economics.- Economic Complex Analysis for Approaching Economic Equilibrium and Economic Stability.- Complex Economic Metrics with Scaling Money Supply.- A Synthetic Macro-economic Model Integrating Tax, Interest and Exchange Rates.- A Cubic Integrated Economic Model for Macroeconomic Analysis.- III Scientometrics: knowledge metrics and h-type metrics Measuring Knowledge: A Quantitative Approach to Knowledge Theory.- A Theoretical Unification of Informetric Models by Wave-heat Equations.- The Empirical Investigation and Theoretical Unification of Mathematical Models for the h-index.- The h-type Core Structure in Single-layer and Multilayer Weighted Information Networks.- The h-core and h-tail Distribution with Dynamic Metrics.- A Quantitative Relationship between Per Capita GDP and Scientometric Criteria.

Über Autor(innen)

Prof. Dr. Ye is now a full professor in the school of information management at Nanjing University. His research interest focuses on the scientific metrics. He has published about 100 articles in peer-reviewed journals, 3 monographs and 3 textbooks. Prof. Ye is a Fellow of European Academy of Sciences and Arts, a life-long member of ISSI (International Society for Scientometrics and Informetrics) and the member of the Editorial Committees of Journal of Informetrics, Journal of Data and Information Science and so on. During Sept. 2000 to Sept. 2001, Dr. Ye was a Fulbright research scholar in the University of Arizona and the University of Michigan in USA.