Identifying cooperation for innovation―a comparison of data sources

Michael Fritsch (), Mirko Titze and Matthias Piontek

EconStor Open Access Articles and Book Chapters, 2020, vol. 27, issue 6, 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.

Keywords: Knowledge interactions; social network analysis; regional innovation systems; data sources; R&D cooperation (search for similar items in EconPapers)
JEL-codes: O30 R12 R30 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Related works:
Journal Article: Identifying cooperation for innovation―a comparison of data sources (2020)
Working Paper: Identifying cooperation for innovation: A comparison of data sources (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:225010

DOI: 10.1080/13662716.2019.1650253

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