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Models of Science Dynamics Encounters Between Complexity Theory and Information Sciences /
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 s...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | Understanding Complex Systems,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-23068-4 | ||
| 003 | DE-He213 | ||
| 005 | 20220114194107.0 | ||
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| 008 | 120124s2012 gw | s |||| 0|eng d | ||
| 020 | |a 9783642230684 |9 978-3-642-23068-4 | ||
| 024 | 7 | |a 10.1007/978-3-642-23068-4 |2 doi | |
| 050 | 4 | |a HM511-538 | |
| 072 | 7 | |a JHB |2 bicssc | |
| 072 | 7 | |a SOC019000 |2 bisacsh | |
| 072 | 7 | |a JHB |2 thema | |
| 082 | 0 | 4 | |a 301.01 |2 23 |
| 245 | 1 | 0 | |a Models of Science Dynamics |h [electronic resource] : |b Encounters Between Complexity Theory and Information Sciences / |c edited by Andrea Scharnhorst, Katy Börner, Peter van den Besselaar. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2012. | |
| 300 | |a XXX, 270 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Understanding Complex Systems, |x 1860-0840 | |
| 505 | 0 | |a Part I Foundations -- An Introduction to Modeling Science: Basic Model Types, Key Definitions, and a General Framework for the Comparison of Process Models -- Mathematical Approaches to Modeling Science From an Algorithmic-historiography Perspectice -- Part II Exemplary Model Type -- Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion -- Agent-based Models of Science -- Evolutionary Game Theory and Complex Networks of Scientific Information -- Part III Exemplary Model Applications -- Dynamic Scientific Co-authorship Networks -- Citation Networks -- Part IV Outlook -- Science Policy and the Challenges for Modeling Science -- Index. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Sociology-Methodology. | |
| 650 | 0 | |a System theory. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Dynamics. | |
| 650 | 0 | |a Nonlinear theories. | |
| 650 | 1 | 4 | |a Sociological Methods. |
| 650 | 2 | 4 | |a Complex Systems. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Applied Dynamical Systems. |
| 700 | 1 | |a Scharnhorst, Andrea. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Börner, Katy. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a van den Besselaar, Peter. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642448843 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642230691 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642230677 |
| 830 | 0 | |a Understanding Complex Systems, |x 1860-0840 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-23068-4 |z Texto Completo |
| 912 | |a ZDB-2-PHA | ||
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| 950 | |a Physics and Astronomy (SpringerNature-11651) | ||
| 950 | |a Physics and Astronomy (R0) (SpringerNature-43715) | ||