Characterizing tweeting behaviors of sina weibo users via public data streaming

Kai Zhang, Qian Yu, Kai Lei, Kuai Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Since the initial launch in August 2009, SinaWeibo, a Twitter-like microblogging service, has grown rapidly to become a major and influential site for millions of Internet users in China to disseminate news and urgent information, promote new productions, and express opinions and comments on controversial issues [4, 6]. However, unlike Twitter which attracts much attentions from the research community due to its popularity in United States and Europe, few studies have been done to characterize tweeting behaviors of Sina Weibo users.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages294-297
Number of pages4
Volume8485 LNCS
ISBN (Print)9783319080093
DOIs
StatePublished - 2014
Event15th International Conference on Web-Age Information Management, WAIM 2014 - Macau, China
Duration: Jun 16 2014Jun 18 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8485 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Web-Age Information Management, WAIM 2014
CountryChina
CityMacau
Period6/16/146/18/14

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Zhang, K., Yu, Q., Lei, K., & Xu, K. (2014). Characterizing tweeting behaviors of sina weibo users via public data streaming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8485 LNCS, pp. 294-297). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8485 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-08010-9_32