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

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 emer...

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Bibliographic Details
Main Authors: Xiaoyang Liu, Chao Liu, Xiaoping Zeng
Format: Article
Language:English
Published: Hindawi-Wiley 2017-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2017/5857372
Description
Summary: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.
ISSN:1076-2787
1099-0526