Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/225010
Authors: 
Fritsch, Michael
Titze, Mirko
Piontek, Matthias
Year of Publication: 
2020
Citation: 
[Journal:] Industry and Innovation [ISSN:] 1469-8390 [Volume:] 27 [Issue:] 6 [Pages:] 630-659
Abstract: 
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.
Subjects: 
Knowledge interactions
social network analysis
regional innovation systems
data sources
R&D cooperation
JEL: 
O30
R12
R30
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by-nc-nd/4.0/
Document Type: 
Article
Document Version: 
Published Version

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