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Modelling Multiple Interactions in Science and Technology Networks

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  • Domenico De Stefano
  • Susanna Zaccarin

Abstract

Empirical studies have shown that the extent of innovation diffusion is greatly affected by the structure of the network in which innovation processes take place. This contribution aims to identify the complex structure of relationships at the basis of knowledge and innovation diffusion among actors from various organizations (firms, academic and research institutions) in a given territory. A multiplex approach is proposed to explain co-authorship and co-invention interaction among Author--Inventors community in a specific geographic area. To this end, we carry out a case study of the Trieste area (North-East Italy), characterized by a very high concentration of research organizations and by the emergence of a lively sector of small R&D firms.

Suggested Citation

  • Domenico De Stefano & Susanna Zaccarin, 2013. "Modelling Multiple Interactions in Science and Technology Networks," Industry and Innovation, Taylor & Francis Journals, vol. 20(3), pages 221-240, April.
    • Handle: RePEc:taf:indinn:v:20:y:2013:i:3:p:221-240
    DOI: 10.1080/13662716.2013.791130
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    5. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," Research Policy, Elsevier, vol. 52(10).
    6. Erlend Osland Simensen & Milad Abbasiharofteh, 2022. "Sectoral patterns of collaborative tie formation: investigating geographic, cognitive, and technological dimensions [Endogenous effects and cluster transition: a conceptual framework for cluster policy]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(5), pages 1223-1258.
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