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Comparing the pulses of categorical hot events in Twitter and Weibo
Abstract The fragility and interconnectivity of theThe fragility and interconnectivity of the planet argue compellingly for a greater understanding of how different communities make sense of their world. One of such critical demands relies on comparing the Chinese and the rest of the world (e.g., Americans), where communities' ideological and cultural backgrounds can be significantly different. While traditional studies aim to learn the similarities and differences between these communities via high-cost user studies, in this paper we propose a much more efficient method to compare different communities by utilizing social media. Specifically, Weibo and Twitter, the two largest microblogging systems, are employed to represent the target communities, i.e. China and the Western world (mainly United States), respectively. Meanwhile, through the analysis of the Wikipedia page-click log, we identify a set of categorical 'hot events' for one month in 2012 and search those hot events in Weibo and Twitter corpora along with timestamps via information retrieval methods. We further quantitatively and qualitatively compare users' responses to those events in Twitter and Weibo in terms of three aspects: popularity, temporal dynamic, and information diffusion. The comparative results show that although the popularity ranking of those events are very similar, the patterns of temporal dynamics and information diffusion can be quite different.ormation diffusion can be quite different.
Abstractsub The fragility and interconnectivity of theThe fragility and interconnectivity of the planet argue compellingly for a greater understanding of how different communities make sense of their world. One of such critical demands relies on comparing the Chinese and the rest of the world (e.g., Americans), where communities' ideological and cultural backgrounds can be significantly different. While traditional studies aim to learn the similarities and differences between these communities via high-cost user studies, in this paper we propose a much more efficient method to compare different communities by utilizing social media. Specifically, Weibo and Twitter, the two largest microblogging systems, are employed to represent the target communities, i.e. China and the Western world (mainly United States), respectively. Meanwhile, through the analysis of the Wikipedia page-click log, we identify a set of categorical 'hot events' for one month in 2012 and search those hot events in Weibo and Twitter corpora along with timestamps via information retrieval methods. We further quantitatively and qualitatively compare users' responses to those events in Twitter and Weibo in terms of three aspects: popularity, temporal dynamic, and information diffusion. The comparative results show that although the popularity ranking of those events are very similar, the patterns of temporal dynamics and information diffusion can be quite different.ormation diffusion can be quite different.
Bibtextype inproceedings  +
Doi 10.1145/2631775.2631810  +
Has author Shuai X. + , Xiaojiang Liu + , Xia T. + , Wu Y. + , Guo C. +
Has extra keyword Hypertext systems + , Information retrieval + , World Wide Web + , Community comparison + , Information diffusion + , Log mining + , Social media + , Twitter + , Weibo + , Wikipedia + , Social networking (online) +
Has keyword Click log mining + , Community comparison + , Information diffusion + , Information retrieval + , Social media + , Twitter + , Weibo + , Wikipedia +
Isbn 9781450329545  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 126–135  +
Published in HT 2014 - Proceedings of the 25th ACM Conference on Hypertext and Social Media +
Title Comparing the pulses of categorical hot events in Twitter and Weibo +
Type conference paper  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 16:02:21  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 16:02:21  +
DateThis property is a special property in this wiki. 2014  +
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