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| 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. |
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