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The impact of network structure on innovation efficiency: An agent-based study in the context of innovation networks

机译:网络结构对创新效率的影响:创新网络背景下基于主体的研究

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This article investigates the impact of network structure on innovation efficiency by establishing a simulation model of innovation process in the context of innovation networks. The results indicate that short path lengths between vertices are conductive to high efficiency of explorative innovations, dense clusters are conductive to high efficiency of exploitative innovations, and high small-worldness is conductive to high efficiency of the hybrid of these two innovations. Moreover, we discussed the reason of the results and give some suggestions to innovators and innovation policy makers. (c) 2014 Wiley Periodicals, Inc.
机译:本文通过在创新网络的背景下建立创新过程的仿真模型,研究网络结构对创新效率的影响。结果表明,顶点之间的短路径长度有助于探索性创新的高效率,密集的簇有助于探索性创新的高效率,而高小世界性则有利于这两种创新的混合。此外,我们讨论了结果的原因,并为创新者和创新政策制定者提供了一些建议。 (c)2014年威利期刊有限公司

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