Analyzing user behavior of the micro-blogging website Sina Weibo during hot social events

Wanqiu Guan, Haoyu Gao, Mingmin Yang, Yuan Li, Haixin Ma, Weining Qian, Zhigang Cao and Xiaoguang Yang

Physica A: Statistical Mechanics and its Applications, 2014, vol. 395, issue C, 340-351

Abstract: The spread and resonance of users’ opinions on Sina Weibo, the most popular micro-blogging website in China, are tremendously influential, having significantly affected the processes of many real-world hot social events. We select 21 hot events that were widely discussed on Sina Weibo in 2011, and do some statistical analyses. Our main findings are that (i) male users are more likely to be involved, (ii) messages that contain pictures and those posted by verified users are more likely to be reposted, while those with URLs are less likely, (iii) the gender factor, for most events, presents no significant difference in reposting likelihood.

Keywords: Social networking service; Micro-blogging; Sina Weibo; Hot social events; Demographic characteristics (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:395:y:2014:i:c:p:340-351

DOI: 10.1016/j.physa.2013.09.059

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