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Empirical Research on Logistics Network Structure of Shaanxi

机译:陕西物流网络结构的实证研究

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Conventional statistic analysis technology can only analyze attribute data, not dealing with relational data easily revealing and describing logistics network, but social network analysis (SNA) is good at relational data. In some sense, logistics network is a network of relations of its elements. The paper combines the two types of data technology to study on the logistics network of Shaanxi through the software Ucinet and SPSS in order to break insurmountable limitations of the current quantitative researches in methodology and finds apparent stratifying phenomenon of the network.
机译:传统的统计分析技术只能分析属性数据,而不能处理易于揭示和描述物流网络的关系数据,而社交网络分析(SNA)擅长于关系数据。从某种意义上说,物流网络是其要素之间的联系网络。本文结合两种数据技术,通过Ucinet和SPSS软件对陕西物流网络进行研究,以打破目前定量研究方法上不可克服的局限性,发现网络的明显分层现象。

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