Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences - Couverture souple

9783642448843: Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences

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ISBN 10 : 3642448844 ISBN 13 : 9783642448843

Editeur : Springer, 2014

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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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This volume explores the structure and evolution of science, an emerging field where scholars, science and science communication themselves become the basic objects of research. It aims to provide, for the first time, a unified mathematical model of science.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2014
Langue: anglais
ISBN 10: 3642448844
ISBN 13: 9783642448843
Reliure: Broch�
Nombre de pages: 300
�diteur: Scharnhorst Andrea, B�rner Katy, Van Den Besselaar Peter
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Personne responsable: CMN Printpool Inh. Mathis Neumann
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9783642230677: Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences

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ISBN 10 : 3642230679 ISBN 13 : 9783642230677
Editeur : Springer-Verlag Berlin and Heide..., 2012
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Models of Science Dynamics

Scharnhorst, Andrea|B�rner, Katy|Besselaar, Peter van den

Edit� par Springer Berlin Heidelberg, 2014

ISBN 10 : 3642448844 ISBN 13 : 9783642448843

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Etat : 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. N� de r�f. du vendeur 5061465

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Models of Science Dynamics : Encounters Between Complexity Theory and Information Sciences

Andrea Scharnhorst

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783642448843

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Models of Science Dynamics

Andrea Scharnhorst

Edit� par Springer Berlin Heidelberg Feb 2014, 2014

ISBN 10 : 3642448844 ISBN 13 : 9783642448843

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 300 pp. Englisch. N� de r�f. du vendeur 9783642448843

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

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

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Models of Science Dynamics

Andrea Scharnhorst

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 2014, 2014

ISBN 10 : 3642448844 ISBN 13 : 9783642448843

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch. N� de r�f. du vendeur 9783642448843

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