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- W2892040951 endingPage "611" @default.
- W2892040951 startingPage "594" @default.
- W2892040951 abstract "Abstract There is consensus among scholars that social networks are important mechanisms of knowledge spillovers. By occupying a central and advantageous network position in the collaboration network, it is easy for actors to access intangible external resources. However, empirical studies of the impact of network structure on knowledge production remain scarce. Based on copublication data from the Web of Science database (WoS) from 2000 to 2015, we construct eleven international scientific collaboration networks and empirically estimate the impacts of multiple network properties, comprehensively measured by degree centrality, structure holes, and small‐world quotient, on national knowledge output. Empirical results based on fixed effect negative binomial models suggest positive effects of the three facets of network properties, that is, higher degree centrality, structural holes, and small‐world quotient are beneficial for facilitating and improving national knowledge production, which in turn encourages international academic collaboration." @default.
- W2892040951 created "2018-09-27" @default.
- W2892040951 creator A5031511396 @default.
- W2892040951 creator A5054030761 @default.
- W2892040951 creator A5070970699 @default.
- W2892040951 date "2018-09-05" @default.
- W2892040951 modified "2023-10-11" @default.
- W2892040951 title "Does network position foster knowledge production? Evidence from international scientific collaboration network" @default.
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- W2892040951 doi "https://doi.org/10.1111/grow.12263" @default.
- W2892040951 hasPublicationYear "2018" @default.
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