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Sina Weibo User Influence Research

In: Recent Developments in Data Science and Business Analytics

Author

Listed:
  • Zhu Yangpeng

    (School of Economics and Management, Xi’an Shiyou University)

  • Li Peng

    (School of Economics and Management, Xi’an Shiyou University)

Abstract

This paper takes Weibo users as the research object, and extracts two dimensions from the point of view of user relationship: Micro-bo concern number, micro-blog fans number, and on this basis to generate fans rate indicator. Through the Python Network crawler to acquire and analysis data, this paper has obtained the exponential function model and cumulative distribution model of the fans rate distribution, and verified the correlation between fans rate and Weibo influence. It has higher practical application value.

Suggested Citation

  • Zhu Yangpeng & Li Peng, 2018. "Sina Weibo User Influence Research," Springer Proceedings in Business and Economics, in: Madjid Tavana & Srikanta Patnaik (ed.), Recent Developments in Data Science and Business Analytics, chapter 0, pages 485-494, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-72745-5_55
    DOI: 10.1007/978-3-319-72745-5_55
    as

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