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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Scharnhorst, Andrea (Επιμελητής έκδοσης), Börner, Katy (Επιμελητής έκδοσης), Besselaar, Peter van den (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Understanding Complex Systems,
• Θέματα: Social sciences.; Sociophysics.; Econophysics.; Complexity, Computational.; Social Sciences.; Methodology of the Social Sciences.; Socio- and Econophysics, Population and Evolutionary Models.; Information Systems Applications (incl. Internet).; Complexity.

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...

Πίνακας περιεχομένων:

• 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.