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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Scharnhorst, Andrea (Editor ), Börner, Katy (Editor ), van den Besselaar, Peter (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Understanding Complex Systems,
Temas:
Sociology-Methodology.
System theory.
Application software.
Dynamics.
Nonlinear theories.
Sociological Methods.
Complex Systems.
Computer and Information Systems Applications.
Applied Dynamical Systems.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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