Models of Science Dynamics Encounters Between Complexity Theory and Information Sciences / edited by Andrea Scharnhorst, Katy Börner, Peter Besselaar.

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...

Full description

Saved in:
Bibliographic Details
Main Author: Scharnhorst, Andrea
Corporate Author: SpringerLink (Online service)
Other Authors: Börner, Katy, Besselaar, Peter van den
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series:Understanding complex systems.
Subjects:
Social sciences.
Physics.
Engineering.
Social sciences > Methodology.
Online Access: Full text (Wentworth users only).
Table of Contents:
  • 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.

Similar Items