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Modelling Multiple Interactions in Science and Technology Networks

DE STEFANO, DOMENICO
•
ZACCARIN, SUSANNA
2013
  • journal article

Periodico
INDUSTRY AND INNOVATION
Abstract
Empirical evidence shows that knowledge transfer from research institutions and universities contributes to local innovation processes in a variety of ways. Several studies have also shown that the extent of innovation diffusion is greatly affected by the structure of the network in which innovation processes take place. In this contribution, we aim 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-inventions interactions 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 firms working in the field of R&D.
DOI
10.1080/13662716.2013.791130
WOS
WOS:000320081900003
Archivio
http://hdl.handle.net/11368/2634197
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84878571560
Diritti
metadata only access
Soggetti
  • Knowledge flow

  • university-industry r...

  • social network analys...

  • multiple network

  • Exponential Random Mu...

Scopus© citazioni
15
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
22
Data di acquisizione
Mar 23, 2024
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