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Models Science Dynamics Encounters (14 results)
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Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Springer Complexity: Understanding Complex Systems)
Published by Springer-Verlag Publishing, 2012
ISBN 10: 3642230679 ISBN 13: 9783642230677
Language: English
Condition: Like New. 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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US$ 116.44
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US$ 116.90
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Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Springer Complexity: Understanding Complex Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 131.44
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Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences (Understanding Complex Systems)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 136.32
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Models of Science Dynamics : Encounters Between Complexity Theory and Information Sciences
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642230679 ISBN 13: 9783642230677
Language: English
US$ 56.51
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Models of Science Dynamics : Encounters Between Complexity Theory and Information Sciences
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642448844 ISBN 13: 9783642448843
Language: English
US$ 129.32
Convert currencyUS$ 73.09 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Models of Science Dynamics : Encounters Between Complexity Theory and Information Sciences
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642230679 ISBN 13: 9783642230677
Language: English
US$ 129.32
Convert currencyUS$ 74.03 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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US$ 176.81
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Add to basketPaperback. Condition: Brand New. 2012 edition. 270 pages. 9.00x6.10x0.70 inches. In Stock.
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US$ 179.29
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Add to basketHardcover. Condition: Brand New. 2012 edition. 299 pages. 9.50x6.50x1.00 inches. In Stock.
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US$ 191.31
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Add to basketHardcover. Condition: Like New. Like New. book.
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Models of Science Dynamics-Encounters Between Complexity Theory and Information Sciences
Published by Springer Berlin Heidelberg, 2012
ISBN 10: 3642230679 ISBN 13: 9783642230677
Language: English
US$ 111.53
Convert currencyUS$ 57.49 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Edited and Authored by leading researchers in the fieldFirst interdisciplinary treatment of this topic and the interface of information and systems sciences, scientometrics and social complex networksAddresses a wider academic and profes.
