Cargando…
Predicting opinion evolution based on information diffusion in social networks using a hybrid fuzzy based approach
Social media plays an important role in disseminating information and analysing public and government opinions. The vast majority of previous research has examined information diffusion and opinion analysis separately. This study proposes a new framework for analysing both information diffusion and...
Autores principales: | Uthirapathy, Samson Ebenezar, Sandanam, Domnic |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554852/ https://www.ncbi.nlm.nih.gov/pubmed/36246340 http://dx.doi.org/10.1007/s41870-022-01109-2 |
Ejemplares similares
-
Competing opinion diffusion on social networks
por: Hu, Haibo
Publicado: (2017) -
Contingency response decision of network public opinion emergencies based on intuitionistic fuzzy entropy and preference information of decision makers
por: Fu, Sha, et al.
Publicado: (2022) -
Hybrid Network Defense Model Based on Fuzzy Evaluation
por: Cho, Ying-Chiang, et al.
Publicado: (2014) -
Investigating Key Factors for Social Network Evolution and Opinion Dynamics in an Agent-Based Simulation
por: Halbach, Patrick, et al.
Publicado: (2020) -
Recognition of opinion leaders in blockchain-based social networks by structural information and content contribution
por: Wang, Chuansheng, et al.
Publicado: (2023)