TY  - BOOK
AU  - Pyka,Andreas
AU  - Scharnhorst,Andrea
ED  - SpringerLink (Online service)
TI  - Innovation Networks: New Approaches in Modelling and Analyzing 
T2  - Understanding Complex Systems,
SN  - 9783540922674
AV  - HB1-846.8 
U1  - 330.1 23
PY  - 2009///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Operations research
KW  - Decision making
KW  - Statistical physics
KW  - Dynamical systems
KW  - Engineering economics
KW  - Engineering economy
KW  - Electrical engineering
KW  - Economic theory
KW  - Social sciences
KW  - Economics
KW  - Economic Theory/Quantitative Economics/Mathematical Methods
KW  - Statistical Physics, Dynamical Systems and Complexity
KW  - Methodology of the Social Sciences
KW  - Engineering Economics, Organization, Logistics, Marketing
KW  - Communications Engineering, Networks
KW  - Operation Research/Decision Theory
N1  - Innovation networks in economics -- Knowledge Networks: Structure and Dynamics -- Death of Distance in Science? A Gravity Approach to Research Collaboration -- Evolution and Dynamics of Networks in #x2018;Regional Innovation Systems#x2019; (RIS) -- Agent-Based Modelling of Innovation Networks #x2013; The Fairytale of Spillover -- Structural Holes, Innovation and the Distribution of Ideas -- Introduction: Network Perspectives on Innovations: Innovative Networks #x2013; Network Innovation -- Innovation networks in complex theories -- Tools from Statistical Physics for the Analysis of Social Networks -- Modeling Evolving Innovation Networks -- Propagation of Innovations in Complex Patterns of Interaction -- Sensitive Networks #x2013; Modelling Self-Organization and Innovation Processes in Networks
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-92267-4
ER  -