Identifying cooperation for innovation: A comparison of data sources
Michael Fritsch (),
Matthias Piontek and
Mirko Titze
No 1/2019, IWH Discussion Papers from Halle Institute for Economic Research (IWH)
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 subsidised collaborative Research and Development 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: 2019
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 (4)
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Related works:
Journal Article: Identifying cooperation for innovation―a comparison of data sources (2020) 
Journal Article: Identifying cooperation for innovation―a comparison of data sources (2020) 
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:iwhdps:12019
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