Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences - Couverture souple
Synopsis
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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