The structure of R&D collaboration networks in the European Framework Programmes
Roediger-Schluga, Thomas and Barber, Michael J. (2006). The structure of R&D collaboration networks in the European Framework Programmes. UNU-MERIT.
Document type:
Report
Collection:
-
Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials) Name Description MIMEType Size Downloads wp2006-036.pdf PDF 
application/pdf 1.55MB -
Author Roediger-Schluga, Thomas
Barber, Michael J.Title The structure of R&D collaboration networks in the European Framework Programmes Publication Date 2006 Publisher UNU-MERIT Abstract Using a large and novel data source, we study the structure of R&D collaboration net-works in the first five EU Framework Programmes (FPs). The networks display proper-ties typical for complex networks, including scale-free degree distributions and the small-world property. Structural features are common across FPs, indicating similar network formation mechanisms despite changes in governance rules. Several findings point towards the existence of a stable core of interlinked actors since the early FPs with integration increasing over time. This core consists mainly of universities and research organisations. We observe assortative mixing by degree of projects, but not by degree of organisations. Unexpectedly, we find only weak association between central projects and project size, suggesting that different types of projects attract different groups of actors. In particular, large projects appear to have included few of the pivotal actors in the networks studied. Central projects only partially mirror funding priorities, indicating field-specific differences in network structures. The paper concludes with an agenda for future research. Keyword R&D development collaboration
EU framework programmes
Complex networks
Small world effect
Centrality measures
European research areaJEL L14
O38
Z13Copyright Holder UNU-MERIT Copyright Year 2006 ISSN 1871-9872 -
Citation counts 
Search Google Scholar
Access Statistics: 522 Abstract Views, 168 File Downloads - Detailed Statistics Created: Wed, 11 Dec 2013, 16:06:31 JST