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Erschienen in: Neural Computing and Applications 2/2021

18.04.2020 | S.I. : DPTA Conference 2019

Simulation and modeling of microblog-based spread of public opinions on emergencies

verfasst von: Jing-hua Zhao, Da-lin Zeng, Jiang-tao Qin, Hong-ming Si, Xiao-fang Liu

Erschienen in: Neural Computing and Applications | Ausgabe 2/2021

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Abstract

The crux to emergency management is public opinion control, while the key to public opinion control is the control of online spread of information about emergencies, premised on the study of online information flow about emergencies in order to effectively warn against and channel emergencies and prevent the spread and deterioration of information about a crisis in the spread of such information. Based on the complex network theory, information spread theory and disease spread theory, as well as a study of the Wenling doctor murdering case, a model about the spread of information on emergencies is constructed by combining empirical data and simulation experiments. Through the verification and analysis of the simulation results, the rationality of the model and the simulation results is proved, thus providing an approach of modeling and analysis that can be used for reference in subsequent research on the spread of information about emergencies through multi-information spread sources. This research has certain reference value for establishing an information spread control and guidance mechanism.

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Metadaten
Titel
Simulation and modeling of microblog-based spread of public opinions on emergencies
verfasst von
Jing-hua Zhao
Da-lin Zeng
Jiang-tao Qin
Hong-ming Si
Xiao-fang Liu
Publikationsdatum
18.04.2020
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 2/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-04919-2

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