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Science Dynamics and Research Production: Indicators, Indexes, Statistical Laws and Mathematical Models /
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Science Dynamics and Research Production ([EBook]) : Indicators, Indexes, Statistical Laws and Mathematical Models / / by Nikolay K. Vitanov.
Author
Vitanov, Nikolay K.
Other name(s)
SpringerLink (Online service)
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2016.
Physical Details
XVIII, 285 p. 5 illus. : online resource.
Series
Qualitative and Quantitative Analysis of Scientific and Scholarly Communication
2365-8371
ISBN
9783319416311
Summary Note
This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.:
Contents note
Complex Structure and System of Science - Quality and Quantity in the Study of Science, Scientific Work and Scientific Productivity - The Role of Mathematics -- Scientific Productivity of Individual Researchers -- Indexes for Characteristics of Research Productivity in a Group of Researchers -- Comparison of Research Productivities of Groups of Researchers -- Frequency and the Rank Approaches to Scientific Productivity -- Selected Models for Evolution of Research Organizations and Scientific Productivity -- Several Concluding Remarks.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-3-319-41631-1
Links to Related Works
Subject References:
Economic policy
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Methodology of the Social Sciences
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Nonlinear Dynamics
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Printing
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Printing and Publishing
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Publishers and publishing
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R & D/Technology Policy
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Social sciences
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Statistical Physics
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Statistical Theory and Methods
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Statistics
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Authors:
Vitanov, Nikolay K.
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Corporate Authors:
SpringerLink (Online service)
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Series:
Qualitative and Quantitative Analysis of Scientific and Scholarly Communication
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Classification:
519.5
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