Understanding Complex Systems

Models of Science Dynamics

Encounters Between Complexity Theory and Information Sciences

Editors: Scharnhorst, Andrea, Börner, Katy, van den Besselaar, Peter (Eds.)

  • Edited and Authored by leading researchers in the field
  • First interdisciplinary treatment of this topic and the interface of information and systems sciences, scientometrics and social complex networks
  • Addresses a wider academic and professional audience
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About this book

Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.

Reviews

From the reviews:

“The book is a comprehensive review of the mathematical models of science from its origins. … each chapter has ‘checkpoints’, i.e., a box or a table presenting either a list of relevant questions together with short answers or a summary of the key-points discussed. This particular structure makes the book especially suited for graduate students and scholars … . experts will surely appreciate the richness and depth of the cited literature, for the first time so well organized into a single book.” (Stefano Balietti, Journal of Artificial Societies and Social Simulation, Vol. 15 (3), 2012)


Table of contents (8 chapters)

  • An Introduction to Modeling Science: Basic Model Types, Key Definitions, and a General Framework for the Comparison of Process Models

    Börner, Katy (et al.)

    Pages 3-22

  • Mathematical Approaches to Modeling Science from an Algorithmic-Historiography Perspective

    Lucio-Arias, Diana (et al.)

    Pages 23-66

  • Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion

    Vitanov, Nikolay K. (et al.)

    Pages 69-125

  • Agent-Based Models of Science

    Payette, Nicolas

    Pages 127-157

  • Evolutionary Game Theory and Complex Networks of Scientific Information

    Hanauske, Matthias

    Pages 159-191

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-23068-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-23067-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-3-642-44884-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Models of Science Dynamics
Book Subtitle
Encounters Between Complexity Theory and Information Sciences
Editors
  • Andrea Scharnhorst
  • Katy Börner
  • Peter van den Besselaar
Series Title
Understanding Complex Systems
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-23068-4
DOI
10.1007/978-3-642-23068-4
Hardcover ISBN
978-3-642-23067-7
Softcover ISBN
978-3-642-44884-3
Series ISSN
1860-0832
Edition Number
1
Number of Pages
XXX, 270
Topics