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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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    4. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1-1.
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    6. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).
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    9. Santini, Mateus Augusto Fassina & Faccin, Kadígia & Balestrin, Alsones & Volkmer Martins, Bibiana, 2021. "How the relational structure of universities influences research and development results," Journal of Business Research, Elsevier, vol. 125(C), pages 155-163.
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