Your Waterstones card is changing, introducing...
TELL ME MORE
Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences - Understanding Complex Systems (Hardback)
  • Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences - Understanding Complex Systems (Hardback)
zoom

Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences - Understanding Complex Systems (Hardback)

(editor), (editor), (editor)
£99.99
Hardback 270 Pages / Published: 23/01/2012
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket

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.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783642230677
Number of pages: 270
Weight: 613 g
Dimensions: 235 x 155 x 17 mm
Edition: 2012


MEDIA 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)

You may also be interested in...

Introducing Chaos
Added to basket
The Computer and the Brain
Added to basket
Systemic Thinking
Added to basket
£25.95
Paperback
An Introduction to Cybernetics
Added to basket
Dynamic Systems
Added to basket
Optimal Control Theory
Added to basket
Sync
Added to basket
£9.99
Paperback
Evolution of Networks
Added to basket
Nonlinear Dynamics and Chaos
Added to basket
Linked
Added to basket
£12.99
Paperback
Cybernetic Revolutionaries
Added to basket
The Human Use Of Human Beings
Added to basket
Deep Simplicity
Added to basket
£9.99
Paperback

Reviews

Please sign in to write a review

Your review has been submitted successfully.