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Hot-topics cross-propagation and opinion-transfer dynamics in the Chinese Sina-microblog social media: A modeling study.
Yin, Fulian; She, Yuwei; Pan, Yanyan; Tang, Xinyi; Hou, Haotong; Wu, Jianhong.
Afiliación
  • Yin F; College of Information and Communication Engineering, Communication University of China, Beijing 100024, PR China.
  • She Y; College of Information and Communication Engineering, Communication University of China, Beijing 100024, PR China.
  • Pan Y; College of Information and Communication Engineering, Communication University of China, Beijing 100024, PR China.
  • Tang X; College of Information and Communication Engineering, Communication University of China, Beijing 100024, PR China.
  • Hou H; College of Information and Communication Engineering, Communication University of China, Beijing 100024, PR China.
  • Wu J; Fields-CQAM Laboratory of Mathematics for Public Health, Laboratory for Industrial and Applied Mathematics, York University, Toronto M3J1P3, Canada. Electronic address: wujhhida@hotmail.com.
J Theor Biol ; 566: 111480, 2023 06 07.
Article en En | MEDLINE | ID: mdl-37003482
ABSTRACT
On social media platforms, hot topics often contain several pieces of related information that can influence internet users, generating either positive or negative opinion orientation. Some of them will choose to retain or change their original opinions after exposure to multiple related messages. To describe the opinion-transfer transient and collective behaviors in this scenario, this paper proposes an opinion-transfer susceptible-forwarding-immunized (OT-SFI) information cross-propagation model. Real multiple information in messages with opinions obtained from the Chinese Sina microblog is used for data fitting to illustrate how model parameters can be estimated and used to predict the accumulative numbers of users with a particular view. The study attempts to relate changes in group views in the network to initial opinion distribution and individuals' opinion choices at the macro level. Furthermore, the model parameters at the micro level are used to measure the probability of "retention" and "reversal" of views in events, as well as the extent to which the masses are influenced by new information views. The result illustrates that the viewpoint distribution of the initial message and the opinion selection of the new message opinion leaders play crucial roles in promoting attention to the topic and driving for a desired collective opinion.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Theor Biol Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Theor Biol Año: 2023 Tipo del documento: Article