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

Fabio Morea
•
Domenico De Stefano
2023
  • conference object

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.
Archivio
https://hdl.handle.net/11368/3046559
https://www.paviauniversitypress.it/catalogo/proceedings-of-the-statistics-and-data-science-conference/6705
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by-nc-sa/4.0/
FVG url
https://arts.units.it/bitstream/11368/3046559/2/9788869521706.pdf
Soggetti
  • Unsupervised Clusteri...

  • Network Analysi

  • Community Detection

  • Labour Market data

  • ISCO-08

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