Content-type: text/html Downes.ca ~ Stephen's Web ~ The Effect of Network Relational Structure on Knowledge Diffusion Learning: An Empirical Study

Stephen Downes

Knowledge, Learning, Community

One way network structures can differ is by directionality: information (or following, or linking) might be one-way (ie., 'directional'), or it might be two-way (ie., bidirectional).  And according to this study, "under Weibo and WeChat, i.e., two different network structures, a variety of knowledge dissemination learning will have different effects." Specifically, it asks whether users' willingness to share either tacit or explicit knowledge is influenced by network structure. Unsurprisingly (since we rarely see negative results published in academic journals) the authors find that a significant correlation does exist. If you're chatting back-and-forth, you're more likely to share tacit knowledge, but if you're broadcasting, you tend to stick to explicit knowledge. Or so the study says.

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Stephen Downes Stephen Downes, Casselman, Canada
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Last Updated: Nov 27, 2024 12:43 p.m.

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