Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Springer Complexity: Understanding Complex Systems)

Andrea Scharnhorst, et al.

ISBN 10: 3642230679 ISBN 13: 9783642230677

Editorial: Springer-Verlag Publishing, 2012

Idioma: Ingl�s

Condici�n: Usado - Como Nuevo Encuadernaci�n de tapa dura

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Like New; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Red covers with title in white lettering; 2012, Springer-Verlag Publishing; 300 pages; "Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Springer Complexity: Understanding Complex Systems)," by Andrea Scharnhorst, et al.

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Detalles bibliogr�ficos

T�tulo: Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Springer Complexity: Understanding Complex Systems)
Editor: Springer-Verlag Publishing
Fecha de publicaci�n: 2012
Idioma: Ingl�s
ISBN 10: 3642230679
ISBN 13: 9783642230677
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: Like New

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Sinopsis

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.

De la contraportada

Models of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basic objects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive research agenda.

This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented here cover stochastic and statistical models, game-theoretic approaches, agent-based simulations, population-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizes terminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of future challenges for science modeling and discusses their relevance for science policy and science policy studies.

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Thank you for taking an interest in one of our books. We are a mail-order only bookstore located in Bellingham, WA specializing in modern out-of-print books of all genres.

If you are an international customer, we ship internationally by UPS Worldwide Expedited. The average delivery time is 1 to 2 weeks, and each shipment can be fully tracked at www.ups.com. For international shipments, it is important to provide a valid phone number with your order. Most international shipments are delivered wit...

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