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.
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References
Ahmed, N.K., Berchmans, F., Neville, J., Kompella, R.: Time-based sampling of social network activity graphs. In: Proceedings of Mining and Learning with Graphs Workshop (2010)
Gjoka, M., Kurant, M., Butts, C.T., Markopoulou, A.: Walking in facebook: a case study of unbiased sampling of osns. In: Proceedings of IEEE INFOCOM (2010)
Kurant, M., Gjoka, M., Butts, C.T., Markopoulou, A.: Walking on a graph with a magnifying glass: stratified sampling via weighted random walks. In: Proceedings of the ACM SIGMETRICS (2011)
Lei, K., Zhang, K., Xu, K.: Understanding sina weibo online social network: A community approach. In: Proceedings of IEEE GLOBECOM (2013)
Papagelis, M., Das, G., Koudas, N.: Sampling online social networks. IEEE Transactions on Knowledge and Data Engineering 25, 662–676 (2013)
Wang, F., Wang, H., Xu, K., Wu, J., Jia, X.: Characterizing information diffusion in online social networks with linear diffusive model. In: Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS) (2013)
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Zhang, K., Yu, Q., Lei, K., Xu, K. (2014). Characterizing Tweeting Behaviors of Sina Weibo Users via Public Data Streaming. In: Li, F., Li, G., Hwang, Sw., Yao, B., Zhang, Z. (eds) Web-Age Information Management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_32
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DOI: https://doi.org/10.1007/978-3-319-08010-9_32
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