Models of Science Dynamics / Understanding Complex Systems (PDF)
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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.
- 2012, 2012, 270 Seiten, Englisch
- Herausgegeben: Andrea Scharnhorst, Katy Börner, Peter van den Besselaar
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642230687
- ISBN-13: 9783642230684
- Erscheinungsdatum: 24.01.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 7.94 MB
- Mit Kopierschutz
- Vorlesefunktion
“The book is a comprehensive review of the mathematical models of science from its origins. … each chapter has ‘checkpoints’, i.e., a box or a table presenting either a list of relevant questions together with short answers or a summary of the key-points discussed. This particular structure makes the book especially suited for graduate students and scholars … . experts will surely appreciate the richness and depth of the cited literature, for the first time so well organized into a single book.” (Stefano Balietti, Journal of Artificial Societies and Social Simulation, Vol. 15 (3), 2012)
Schreiben Sie einen Kommentar zu "Models of Science Dynamics / Understanding Complex Systems".
Kommentar verfassen