Research article

Nearcasting forwarding behaviors and information propagation in Chinese Sina-Microblog

  • Received: 19 February 2019 Accepted: 19 April 2019 Published: 11 June 2019
  • 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.

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

    Related Papers:

  • 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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