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Network evolution analysis of e-business entrepreneurship: big data analysis based on taobao intelligent information system

机译:电子商务创业网络演变分析:基于淘宝智能信息系统的大数据分析

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In recent years, the entrepreneurial development of taobao village based on e-business has led to a new round growth of rural economy in China. This paper constructs a evolution analysis framework of taobao village entrepreneurial network based on the big data of taobao intelligent information system from the year 2007-2016. The social network analysis software Gephi was applied to analyze the data. The result is that: Firstly, the early emerged online shops with high betweenness centrality degree, which mastered important resources and power within the network, formed a strong entrepreneurial demonstration effect to the other shops. Secondly, in taobao village, the number of strong relationship shops increased, entrepreneurial network gradually dispersed characteristics of clustering, entrepreneurial network community structure strength enhanced, division quality optimization, and the transmission performance and efficiency of entrepreneurial network improved. The entrepreneurial network has a typical characteristic of "acquaintance" network business conduction. Thirdly, the entrepreneurial network density of Lin'an taobao village showed a significant downward trend, which may be more conducive to the homogeneous agricultural products sales shops to access to heterogeneous resources, so as to obtain more long-term future development.
机译:近年来,基于电子商务的淘宝村的企业发展导致了中国农村经济的新一轮增长。本文根据淘宝智能信息系统的大数据,构建了淘宝村企业网络的演变分析框架,2007 - 2016年淘宝智能信息系统。应用社交网络分析软件Gephi分析数据。结果是:首先,早期出现的在线商店高度中等程度,掌握了网络内的重要资源和力量,为其他商店形成了强大的创业展示效果。其次,在淘宝村,强势关系店的数量增加,创业网络逐步分散集群,创业网络社区结构强度增强,师范术优化,创业网络传输性能和效率提高。企业网络具有典型的“熟人”网络业务传导的特征。第三,临安淘宝村的企业网络密度表现出显着的下行趋势,这可能更有利于均质农产品销售商店,以获得异构资源,以获得更长期的未来发展。

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