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Is the European R&D Network Homogeneous? Distinguishing Relevant Network Communities Using Graph Theoretic and Spatial Interaction Modelling Approaches

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  • Michael J. Barber
  • Thomas Scherngell

Abstract

Barber M. J. and Scherngell T. Is the European R&D network homogeneous? Distinguishing relevant network communities using graph theoretic and spatial interaction modelling approaches, Regional Studies . This paper characterizes the geography of communities in the European research and development (R&D) network using data on R&D projects funded by the European Union's Fifth Framework Programme. Communities are sub-networks whose members are more tightly linked to one another than to other members of the network. The paper characterizes the communities by means of spatial interaction models, and estimates the impact of separation factors on the variation of cross-region collaboration activities in a given community at the level of 255 NUTS-2 regions. The results demonstrate that European R&D networks are not homogeneous, showing distinct, relevant substructures characterized by spatially heterogeneous community groups.

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  • Michael J. Barber & Thomas Scherngell, 2013. "Is the European R&D Network Homogeneous? Distinguishing Relevant Network Communities Using Graph Theoretic and Spatial Interaction Modelling Approaches," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1283-1298, September.
  • Handle: RePEc:taf:regstd:v:47:y:2013:i:8:p:1283-1298
    DOI: 10.1080/00343404.2011.622745
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    1. Cowan, Robin, 2004. "Network models of innovation and knowledge diffusion," Research Memorandum 016, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
    2. Roediger-Schluga, Thomas & Barber, Michael J., 2006. "The structure of R&D collaboration networks in the European Framework Programmes," MERIT Working Papers 2006-036, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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    2. Teemu Makkonen & Timo Mitze, 2016. "Scientific collaboration between ‘old’ and ‘new’ member states: Did joining the European Union make a difference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1193-1215, March.
    3. Fritsch, Michael & Titze, Mirko & Piontek, Matthias, 2020. "Identifying cooperation for innovation―a comparison of data sources," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(6), pages 630-659.
    4. Michael Fritsch & Mirko Titze & Matthias Piontek, 2018. "Knowledge Interactions in Regional Innovation Networks: Comparing Data Sources," Jena Economics Research Papers 2018-003, Friedrich-Schiller-University Jena.
    5. Jingbei Wang & Naiding Yang, 2019. "Dynamics of collaboration network community and exploratory innovation: the moderation of knowledge networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1067-1084, November.
    6. Peng Gao & Dan He & Zhijing Sun & Yuemin Ning, 2020. "Characterizing functionally integrated regions in the Central Yangtze River Megaregion from a city‐network perspective," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1357-1379, September.
    7. Zeng, Juying & Pagàn-Castaño, Esther & Ribeiro-Navarrete, Samuel, 2022. "Merits of Intercity Innovation Cooperation of Environment-friendly Patents for Environmental Regulation Efficiency," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    8. Wang, Jingbei & Yang, Naiding & Zhang, Yanlu & Song, Yue, 2019. "Modeling and simulation of the cascading failure of R&D network considering the community structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 43-53.
    9. Giuseppe Calignano & Rune Dahl Fitjar & Nina Hjertvikrem, 2018. "Innovation networks and green restructuring: Which path development can EU Framework Programmes stimulate in Norway?," PEGIS geo-disc-2018_05, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.
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    11. Christian Omobhude & Shih-Hsin Chen, 2019. "The Roles and Measurements of Proximity in Sustained Technology Development: A Literature Review," Sustainability, MDPI, vol. 11(1), pages 1-30, January.

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