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Modelling Multiple Interactions in Science and Technology Networks
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DOI：10.1080/13662716.2013.791130.png)
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摘要
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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.
Keyword:
knowledge flows
university-industry relationships
social network analysis
multiple networks
Exponential Random Multigraph Model
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IF:
4.2
论文数:
831
被引数:
2.6K
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