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The science of graphs and networks is now an established tool for modeling and analyzing systems with a large number of interacting components. The contributions to this anthology address different aspects of the relationship between innovation and networks.
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.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 behaviourlƒ!
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