Scharnhorst / Pyka | Innovation Networks | Buch | 978-3-642-10077-2 | sack.de

Buch, Englisch, 330 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 517 g

Reihe: Understanding Complex Systems

Scharnhorst / Pyka

Innovation Networks

New Approaches in Modelling and Analyzing

Buch, Englisch, 330 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 517 g

Reihe: Understanding Complex Systems

ISBN: 978-3-642-10077-2
Verlag: Springer


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.
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Weitere Infos & Material


Introduction: Network Perspective on Innovation: Innovative Networks- Network Innovation.- Knowledge Networks: Structure and Dynamics.- Death of Distance in Science? A Gravity Approach to Research Collaboration.- Evolution and Dynamics of Networks in "Regional Innovation Systems".- Agent-based modelling of Innovation Networks-the Fairytale of Spillovers.- Structural Holes, Innovation and the Distribution of Ideas.- Social Network Analysis- A Physics Approach.- Modelling, Evolving Innovation Networks.- Propagation of Innovations in Complex Patterns of Interaction.- Modelling Self-organization and Innovation Processes in Networks.


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