Universities and research centres play a major role in the generation and diffusion of innovation through education, research, spin-offs and technology transfer. This paper examines a further pattern for the spread of innovation within a regional economy, namely the transfer of workers from one employer to another. Our approach is based on the ”labour market” dataset, from which we derive a network by applying an ad-hoc edge weighting strategy. We propose a novel approach to explore the network structure, using a consensus community detection approach that assigns a probability of membership and isolates trivially small communities. Applying the methodology to the Friuli Venezia Giulia region shows that research institutions play a prominent role in innovation patterns, being the leading elements of large communities and often outperforming large industrial groups.

Innovation Patterns within a Regional Economy through Consensus Community Detection on Labour Market Network

Fabio Morea
;
Domenico De Stefano
2023-01-01

Abstract

Universities and research centres play a major role in the generation and diffusion of innovation through education, research, spin-offs and technology transfer. This paper examines a further pattern for the spread of innovation within a regional economy, namely the transfer of workers from one employer to another. Our approach is based on the ”labour market” dataset, from which we derive a network by applying an ad-hoc edge weighting strategy. We propose a novel approach to explore the network structure, using a consensus community detection approach that assigns a probability of membership and isolates trivially small communities. Applying the methodology to the Friuli Venezia Giulia region shows that research institutions play a prominent role in innovation patterns, being the leading elements of large communities and often outperforming large industrial groups.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3046559
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