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Network dynamics and communities in applied biomedical research

Authors :
Olivier Dupouët
Bastien Bernela
Marie Ferru
Bureau d'Économie Théorique et Appliquée (BETA)
Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Centre de Recherche sur l'Intégration Economique et Financière (CRIEF)
Université de Poitiers
Kedge Business School (Kedge BS)
Source :
Journal of Innovation Economics & Management, Journal of Innovation Economics & Management, De Boeck Supérieur 2019, Innovation Variety in the Healthcare Sector, 30 (3), pp.213-233. ⟨10.3917/jie.pr1.0053⟩, Innovations: Journal of Innovation, Economics & Management, Innovations: Journal of Innovation, Economics & Management, 2019, HAL
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; We investigate the emergence and structuration of the research on prion. Resorting to bibliometric data and tools from social network analysis, we look at the progressive appearance of a dense social network of researchers working on prion. We suggest that the relevant unit of analysis of medical knowledge creation is the community. We then detail how isolated communities emerge and connect to one another to produce a connected network. We then investigate the link creation dynamics to understand the collaboration patterns that the emergence of the observed macro-structures explains at a micro-level, showing that these micro-dynamics evolve over time as the field matures.JEL Codes: O31, O33, D8

Details

Language :
English
ISSN :
20325355
Database :
OpenAIRE
Journal :
Journal of Innovation Economics & Management, Journal of Innovation Economics & Management, De Boeck Supérieur 2019, Innovation Variety in the Healthcare Sector, 30 (3), pp.213-233. ⟨10.3917/jie.pr1.0053⟩, Innovations: Journal of Innovation, Economics & Management, Innovations: Journal of Innovation, Economics & Management, 2019, HAL
Accession number :
edsair.doi.dedup.....5a8faff48c1f3b3425b68f62ac308f1e
Full Text :
https://doi.org/10.3917/jie.pr1.0053⟩