Modeling and quantifying the user influence on information dissemination in the Chinese Sina-Microblog

Zhiqiang Zhang; Zhuo Chen; Qianyi Yang; Yaqing Liang; Hongyu Pang; Fulian Yin

doi:10.1117/12.3012293

21 December 2023 Modeling and quantifying the user influence on information dissemination in the Chinese Sina-Microblog

Zhiqiang Zhang, Zhuo Chen, Qianyi Yang, Yaqing Liang, Hongyu Pang, Fulian Yin

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700X (2023) https://doi.org/10.1117/12.3012293
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Users have various social influences due to their behavior characteristics in the Chinese Sina-Microblog. In order to quantify the impact of different user influences on the spread of public opinion such as public health emergencies, we establish a user-influence susceptible-forwarding-immune (UI-SFI) dynamic information propagation model, which is based on the forwarded quantities data of a real message about COVID-19 vaccine. By the method of binary tree classification, we use the median of followings, followers, and Weibo posts as the boundary to divide users into eight types who have different abilities for the propagation scope of the message. Our Model-based analyses show that the numerical results of the proposed eight types of average exposure rates are in accord with the actual situation. Describing important factors that affect the spread of information, our sensitivity analyses reveal two key types of users and support the strategies for regulating the development of public opinion.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiqiang Zhang, Zhuo Chen, Qianyi Yang, Yaqing Liang, Hongyu Pang, and Fulian Yin "Modeling and quantifying the user influence on information dissemination in the Chinese Sina-Microblog", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700X (21 December 2023); https://doi.org/10.1117/12.3012293

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