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

  • S.I. : DPTA Conference 2019
  • Published:
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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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Acknowledgements

This work was supported by the Shanghai Natural Science Foundation (19ZR1435600), the Natural Science Fostering Foundation (1F-19-303-001), the National Natural Science Fund (71801150) and the Shanghai Sports Social Science Research Foundation (TYSKYJ201915).

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Authors and Affiliations

  1. School of Business, University of Shanghai for Science and Technology, Shanghai, China

    Jing-hua Zhao, Jiang-tao Qin, Hong-ming Si & Xiao-fang Liu

  2. School of Management Engineering, Shandong Jianzhu University, Jinan, Shandong, China

    Da-lin Zeng

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  1. Jing-hua Zhao
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  2. Da-lin Zeng
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  3. Jiang-tao Qin
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  4. Hong-ming Si
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  5. Xiao-fang Liu
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Correspondence to Da-lin Zeng.

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Zhao, Jh., Zeng, Dl., Qin, Jt. et al. Simulation and modeling of microblog-based spread of public opinions on emergencies. Neural Comput & Applic 33, 547–564 (2021). https://doi.org/10.1007/s00521-020-04919-2

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  • DOI: https://doi.org/10.1007/s00521-020-04919-2

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