Knowledge Interactions in Regional Innovation Networks: Comparing Data Sources

Michael Fritsch (), Mirko Titze and Matthias Piontek ()
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Matthias Piontek: Friedrich Schiller University Jena, Germany

No 2018-003, Jena Economics Research Papers from Friedrich-Schiller-University Jena

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. The key role of universities that connect many regional actors is identified in all three types of data.

Keywords: Knowledge interactions; social network analysis; regional innovation systems; data sources (search for similar items in EconPapers)
JEL-codes: O30 R12 R30 (search for similar items in EconPapers)
Date: 2018-01-08
New Economics Papers: this item is included in nep-cse, nep-geo, nep-ino, nep-knm, nep-ppm, nep-sbm, nep-soc, nep-tid and nep-ure
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:jrp:jrpwrp:2018-003

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