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

  • Zheng YeEmail author
  • Jianzhuang Zheng
  • Ruiyi Tu
Original Article
  • 62 Downloads

Abstract

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.

Keywords

Entrepreneurial network Big data analysis Taobao intelligent information system 

Notes

Acknowledgements

The authors acknowledge the National Natural Science Foundation of China (Grant: 71603235), Humanities and Social Sciences Research Program Youth Fund of Education Department of China (Grant: 16YJC630157), Hangzhou Social Sciences Fund for Distinguished Young Scholars (Grant: 2016RCZX32).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Business SchoolZhejiang University City CollegeHangzhouChina

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