Innovation networks : new approaches in modelling and analyzing
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 economi...
محفوظ في:
| مؤلفون آخرون: | , |
|---|---|
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer
[20..].
Cham : Springer Nature |
| سلاسل: | Understanding Complex Systems
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| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Innovation networks, new approaches in modelling and analyzing, Andreas Pyka, Andrea Scharnhorst, editors, 2009, Dordrecht, Springer, 1 vol. (X-330 p.), Understanding complex systems, 978-3-540-92266-7 |
جدول المحتويات:
- 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 Regional Innovation Systems (RIS) Agent-Based Modelling of Innovation Networks The Fairytale of Spillover Structural Holes, Innovation and the Distribution of Ideas Introduction: Network Perspectives on Innovations: Innovative Networks 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 Modelling Self-Organization and Innovation Processes in Networks