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- W2794929413 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." @default.
- W2794929413 created "2018-04-06" @default.
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- W2794929413 date "2018-01-01" @default.
- W2794929413 modified "2023-10-16" @default.
- W2794929413 title "Sina Weibo User Influence Research" @default.
- W2794929413 doi "https://doi.org/10.1007/978-3-319-72745-5_55" @default.
- W2794929413 hasPublicationYear "2018" @default.
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