Sina Weibo User Influence Research

Zhu Yangpeng and Li Peng ()
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Zhu Yangpeng: School of Economics and Management, Xi’an Shiyou University
Li Peng: School of Economics and Management, Xi’an Shiyou University

Chapter Chapter 55 in Recent Developments in Data Science and Business Analytics, 2018, pp 485-494 from Springer

Abstract: 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.

Keywords: Micro-blog; User Influence; Fans rate; MCI (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-72745-5_55

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DOI: 10.1007/978-3-319-72745-5_55

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