Assortativity and Hierarchy in Localized R&D Collaboration Networks

Joan Crespo (), Raphaël Suire () and Jérôme Vicente
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Joan Crespo: LEREPS - Laboratoire d'Etude et de Recherche sur l'Economie, les Politiques et les Systèmes Sociaux - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - UT2J - Université Toulouse - Jean Jaurès - UT - Université de Toulouse - Institut d'Études Politiques [IEP] - Toulouse - ENSFEA - École Nationale Supérieure de Formation de l'Enseignement Agricole de Toulouse-Auzeville
Raphaël Suire: CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique

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Abstract: 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.

Keywords: Regional/spatial science; economic geography; R&D technology policy; industrial organization; analytical advances; characteristics of R&D networks; impacts of R&D networks; policy implications (search for similar items in EconPapers)
Date: 2013
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Published in 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⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00940827

DOI: 10.1007/978-3-319-02699-2_7

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