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Structural dimensions of knowledge-action networks for sustainability

机译:可持续性知识行动网络的结构规模

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Research on the influence of social network structure over flows of knowledge in support of sustainability governance and action has recently flourished. These studies highlight three challenges to evaluating knowledge-action networks: first, defining boundaries; second, characterizing power distributions; and third, identifying obstacles to knowledge sharing and connectivity. We present concepts from social network analysis (SNA) commonly found to influence knowledge flows. We examine applications of SNA from across the social sciences and use the case of land governance in San Juan, Puerto Rico, as an illustration of how all three challenges affect knowledge action networks. SNA is a useful way to understand and overcome many challenges to knowledge flow and thus help improve informational governance strategies for sustainability.
机译:最近,关于社会网络结构对知识流的影响以支持可持续性治理和行动的研究蓬勃发展。这些研究突出了评估知识行动网络的三大挑战:第一,界定界限;第二,表征功率分布;第三,确定知识共享和连通性的障碍。我们介绍了通常被发现会影响知识流的社交网络分析(SNA)中的概​​念。我们研究了来自整个社会科学领域的国民账户体系的应用,并以波多黎各圣胡安的土地治理为例,说明了这三个挑战如何影响知识行动网络。 SNA是了解和克服知识流面临的许多挑战的有用方法,从而有助于改善可持续性的信息治理策略。

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