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Sensitive Networks – Modelling Self-Organization and Innovation Processes in Networks

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Innovation Networks

Part of the book series: Understanding Complex Systems ((UCS))

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Abstract

This contribution is devoted to the interdisciplinary theory of self-organization processes, paying particular attention to stochastic effects connected with innovations in network systems. On our understanding “self-organization” is the spontaneous formation of structures (Ebeling and Feistel, 1982, 1994; Feistel and Ebeling, 1989). An “innovation”, on a general system-theoretical understanding, is the appearance of, for example, a new species, a new mode of behaviour, a new technology, a new product or a new idea (Ebeling and Sonntag, 1986; Bruckner et al., 1989, 1990, 1996; Ebeling et al., 1999).

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Authors and Affiliations

  1. Humboldt-Universität zu Berlin, Institut für Physik, Newtonstr. 15, 12489, Berlin, Federal Republic of Germany

    Ingrid Hartmann-Sonntag

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  1. Ingrid Hartmann-Sonntag
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  2. Andrea Scharnhorst
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  3. Werner Ebeling
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Correspondence to Ingrid Hartmann-Sonntag .

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  1. Universität Bremen, FB Wirtschaftswissenschaften, LS für Wirtschaftstheorie, Hochschulring 4, 28359, Bremen, Germany

    Andreas Pyka

  2. Royal Netherlands Academy of Arts & Science, Virtual Knowledge Studio, Joan Muyskenweg 25, 1090 HC, Amsterdam, Netherlands

    Andrea Scharnhorst

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Hartmann-Sonntag, I., Scharnhorst, A., Ebeling, W. (2009). Sensitive Networks – Modelling Self-Organization and Innovation Processes in Networks. In: Pyka, A., Scharnhorst, A. (eds) Innovation Networks. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92267-4_10

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