Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/225010 
Erscheinungsjahr: 
2020
Quellenangabe: 
[Journal:] Industry and Innovation [ISSN:] 1469-8390 [Volume:] 27 [Issue:] 6 [Publisher:] Routledge [Place:] London [Year:] 2020 [Pages:] 630-659
Verlag: 
Routledge, London
Zusammenfassung: 
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
Schlagwörter: 
Knowledge interactions
social network analysis
regional innovation systems
data sources
R&D cooperation
JEL: 
O30
R12
R30
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
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Dokumentart: 
Article
Dokumentversion: 
Published Version

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