Assortativity and Hierarchy in Localized R&D Collaboration Networks

Autor: Joan Crespo, Jérôme Vicente, Raphaël Suire
Přispěvatelé: Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux (LEREPS), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Institut d'Études Politiques [IEP] - Toulouse-École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville (ENSFEA), Centre de recherche en économie et management (CREM), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Thomas Scherngell, Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Institut d'Études Politiques [IEP] - Toulouse-École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville (ENSFEA), Normandie Université (NU)-Normandie Université (NU)-Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: The Geography of Networks and R&D Collaborations
Thomas Scherngell. The Geography of Networks and R&D Collaborations, Springer, pp.115-128, 2013, Advances in Spatial Science, 978-3-319-02698-5. ⟨10.1007/978-3-319-02699-2_7⟩
The Geography of Networks and R&D Collaborations ISBN: 9783319026985
DOI: 10.1007/978-3-319-02699-2_7⟩
Popis: One of the challenges of innovative clusters relies on their ability to overlap technological domains in order to maintain their growth path along the cycle of technological markets. The paper studies two particular structural properties of collaboration networks that provide new insights for understanding this overlapping process. On the one hand, the degree distribution of knowledge networks captures the level of hierarchy within networks. It gives a first measure of the ability of networked organisations to coordinate their actions. On the other hand, the degree correlation captures the level of assortativity of networks. It gives a measure of the ability of knowledge to flow between highly and poorly connected organisations. We propose to combine these simple statistical measures of network structuring in order to study the parameters window that allow localized knowledge networks combining technological lock-in with regional lock-out.
Databáze: OpenAIRE