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Knowledge diffusion in formal networks: the roles of degree distribution and cognitive distance

Knowledge diffusion in formal networks: the roles of degree distribution and cognitive distance Social networks provide a natural infrastructure for knowledge creation and exchange. In this paper, we study the effects of a skewed degree distribution within formal networks on knowledge exchange and diffusion processes. To investigate how the structure of networks affects diffusion performance, we use an agent-based simulation model of four theoretical networks as well as an empirical network. Our results indicate an interesting effect: neither path length nor clustering coefficient is the decisive factor determining diffusion performance but the skewness of the link distribution is. Building on the concept of cognitive distance, our model shows that even in networks where knowledge can diffuse freely, poorly connected nodes are excluded from joint learning in networks. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computational Economics and Econometrics Inderscience Publishers

Knowledge diffusion in formal networks: the roles of degree distribution and cognitive distance

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1757-1170
eISSN
1757-1189
DOI
10.1504/IJCEE.2018.096365
Publisher site
See Article on Publisher Site

Abstract

Social networks provide a natural infrastructure for knowledge creation and exchange. In this paper, we study the effects of a skewed degree distribution within formal networks on knowledge exchange and diffusion processes. To investigate how the structure of networks affects diffusion performance, we use an agent-based simulation model of four theoretical networks as well as an empirical network. Our results indicate an interesting effect: neither path length nor clustering coefficient is the decisive factor determining diffusion performance but the skewness of the link distribution is. Building on the concept of cognitive distance, our model shows that even in networks where knowledge can diffuse freely, poorly connected nodes are excluded from joint learning in networks.

Journal

International Journal of Computational Economics and EconometricsInderscience Publishers

Published: Jan 1, 2018

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