Innovation Networks

New Approaches in Modelling and Analyzing
1. Auflage. 2009
ISBN: 978-3-540-92266-7
Verlag: Springer Berlin Heidelberg

Buch, Englisch, 330 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 676 g

Reihe: Understanding Complex Systems

social network analysis has been an established eld since the 1950s; in computer and information sciences, in biology, and of course in mathematics (graph theory) networks are central representations of objects and methods (De Nooy, forthc- ing). More detailed bibliometric studies have examined the individual, cognitive, and institutional composition of complex network theory (Morris and Yen 2004), and social network theory (Otte and Rousseau 2002). Among the more impor- ¨ tant pieces of literature are Borner et al. (2007), Bornholdt and Schuster (2003), Buchanan (2002), Dorogovtsev and Mendes (2003), Otte and Rousseau (2002), Newman (2003), and Watts (1999, 2004). Of these, Borner ¨ et al. (2007) stand out because they have most recently re-examined network science, considering it as a possible innovation in information science. All the reviews mentioned include efforts to build bridges between different scienti c disciplines and specialties. In this book we draw particular attention to the link between evolutionary economics and statistical physics. Despite this impressive development, claims that an entirely new science has been created (Barabasi ´ 2002) have nevertheless been the subject of criticism. - depth analyses of a subset of “complex networks” contributions (1991–2003) have shown that the notion of “complex networks” was already prevalent in a number of different elds before it became practically a “brand name” or the popular label for a new specialty area in physics, or a new cross-disciplinary paradigm.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Scharnhorst, Andrea

Pyka, Andreas

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Fernmeldetechnik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik Mathematik Operations Research
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie

Inhaltsverzeichnis

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.