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Volume 2017, Article ID 5857372, 7 pages
Research Article

Online Social Network Emergency Public Event Information Propagation and Nonlinear Mathematical Modeling

1Postdoctoral Research Station of Information and Communication Engineering, Chongqing University, Chongqing 400030, China
2School of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China

Correspondence should be addressed to Xiaoyang Liu; moc.361@3013yxl

Received 23 March 2017; Revised 26 May 2017; Accepted 31 May 2017; Published 28 June 2017

Academic Editor: Junhu Ruan

Copyright © 2017 Xiaoyang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Emergency public event arises everyday on social network. The information propagation of emergency public event (favorable and harmful) is researched. The dynamics of a susceptible-infected-susceptible and susceptible-infected-removed epidemic models incorporated with information propagation of emergency public event are studied. In particular, we investigate the propagation model and the infection spreading pattern using nonlinear dynamic method and results obtained through extensive numerical simulations. We further generalize the model for any arbitrary number of infective network nodes to mimic existing scenarios in online social network. The simulation results reveal that the inclusion of multiple infective node achieved stability and equilibrium in the proposed information propagation model.