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Nearcasting forwarding behaviors and information propagation in Chinese Sina-Microblog

1 College of Information and Communication Engineering, Communication University of China, Beijing, 100024, P.R. China
2 Laboratory for Industrial and Applied Mathematics, York University, Toronto, M3J1P3, Canada

As the largest social media in China, the Sina-Microblog plays an important role in public opinion dissemination. Despite intensive efforts in understanding the information propagation dynamics, the use of a simple outbreak model to generate summative indices that can be used to characterize the time series of a single Weibo event has not been attempted. This work fills this gap, and illustrates the potential of using a simple outbreak model in conjunction with the historical data about the cumulative forwarding users for nearcasting the propagation trend.
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Keywords nearcasting; information propagation; forwarding behaviors; SFI model; Chinese Sina-Microblog

Citation: Fulian Yin, Xueying Shao, Jianhong Wu. Nearcasting forwarding behaviors and information propagation in Chinese Sina-Microblog. Mathematical Biosciences and Engineering, 2019, 16(5): 5380-5394. doi: 10.3934/mbe.2019268


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This article has been cited by

  • 1. Fulian Yin, Xinyu Xia, Nan Song, Lingyao Zhu, Jianhong Wu, Floriana Gargiulo, Quantify the role of superspreaders -opinion leaders- on COVID-19 information propagation in the Chinese Sina-microblog, PLOS ONE, 2020, 15, 6, e0234023, 10.1371/journal.pone.0234023

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