| Literature DB >> 31499717 |
Fu Lian Yin1, Xue Ying Shao1, Jian Hong Wu2.
Abstract
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.Entities:
Keywords: Chinese Sina-Microblog; SFI model; forwarding behaviors; information propagation; nearcasting
Year: 2019 PMID: 31499717 DOI: 10.3934/mbe.2019268
Source DB: PubMed Journal: Math Biosci Eng ISSN: 1547-1063 Impact factor: 2.080