Understanding Complex Systems

Innovation Networks

New Approaches in Modelling and Analyzing

Editors: Pyka, Andreas, Scharnhorst, Andrea (Eds.)

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About this book

The science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications have spread rapidly to the natural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly.

In an abstract, systems-theoretical approach, innovation can be understood as a critical event which destabilizes the current state of the system, and results in a new process of self-organization leading to a new stable state.

The contributions to this anthology address different aspects of the relationship between innovation and networks. The various chapters incorporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights into economics and society-related processes, and the insights into new forms of complex dynamics.

Reviews

From the reviews:

“This book is a worthwhile contribution aimed at narrowing down the divergence between the socioeconomic research and the physicists’ research on networks. … provides a valuable resource for those interested in how network structures affect innovation and their outcome … . the book presents a rich set of models and empirical evidence of networks that mainly represent the share of knowledge between nodes (firms). Readers looking for methods and modelling techniques across innovation studies and statistical physics will find this book of valuable use.” (Tommaso Ciarli, Journal of Artificial Societies and Social Simulation, Vol. 13 (1), 2010)

“This book is an edited collection of ten articles that address aspects of the relationship between innovation and networks. … will be of much value not only to those interested in complex economic or social behaviour, but also to those interested in graph-theoretic, statistical, probabilistic, and algebraic structure of networks.” (Charles J. Colbourn, Zentralblatt MATH, Vol. 1174, 2009)


Table of contents (10 chapters)

  • Introduction: Network Perspectives on Innovations: Innovative Networks – Network Innovation

    Pyka, Andreas (et al.)

    Pages 1-16

  • Knowledge Networks: Structure and Dynamics

    Saviotti, Pier Paolo

    Pages 19-41

  • Death of Distance in Science? A Gravity Approach to Research Collaboration

    Frenken, Koen (et al.)

    Pages 43-57

  • Evolution and Dynamics of Networks in ‘Regional Innovation Systems’ (RIS)

    Beckenbach, Frank (et al.)

    Pages 59-100

  • Agent-Based Modelling of Innovation Networks – The Fairytale of Spillover

    Pyka, Andreas (et al.)

    Pages 101-126

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-92267-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-540-92266-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
  • ISBN 978-3-642-10077-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Innovation Networks
Book Subtitle
New Approaches in Modelling and Analyzing
Editors
  • Andreas Pyka
  • Andrea Scharnhorst
Series Title
Understanding Complex Systems
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-92267-4
DOI
10.1007/978-3-540-92267-4
Hardcover ISBN
978-3-540-92266-7
Softcover ISBN
978-3-642-10077-2
Series ISSN
1860-0832
Edition Number
1
Number of Pages
X, 330
Number of Illustrations and Tables
265 b/w illustrations
Topics