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Weighted complex network of inter-province knowledge spillover in China

机译:中国省际知识溢出的加权复杂网络

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In this article, we utilize the research methods of complex network to discuss the inter-province knowledge spillover in China based on paper cooperation from 1980 to 2009. We analyze the topology of the knowledge spillover network by measuring the degree distribution, average path length, clustering coefficient, clustering and degree correlation, and find that the (1)degree distribution is similar to power-law distribution in 1980–2000, and then tend to anti power-law distribution; (2)Both Lag and Catch-up of regions did appeared in different times; (3)Average path length and clustering coefficient have large fluctuate, and(4) there is obvious clustering and degree correlation. By analyzing the relationships between topology characteristics combining with realistic background, we reach the conclusion that (1)the weak ties are more, (2)public policy to improve inter-district knowledge cooperation has been carried out efficiently and(3) key points are more vital. At last we predict the developing trend of inter-province knowledge spillover.
机译:在本文中,我们利用复杂网络的研究方法,基于1980年至2009年的纸质合作,探讨了中国省际知识溢出的问题。我们通过测量程度分布,平均路径长度,聚类系数,聚类和度相关,发现(1)度分布与1980-2000年的幂律分布相似,然后趋向于反幂律分布; (2)区域滞后和追赶的确在不同时间出现; (3)平均路径长度和聚类系数波动较大,(4)存在明显的聚类和程度相关性。通过结合实际背景分析拓扑特征之间的关系,得出以下结论:(1)联系薄弱,(2)有效执行了促进跨地区知识合作的公共政策,(3)重点更重要。最后,我们预测了跨省知识溢出的发展趋势。

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