Models of Science Dynamics Encounters Between Complexity Theory and Information Sciences (Springer Berlin Heidelberg, 2012)
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