Cargando…
Parallel social behavior-based algorithm for identification of influential users in social network
Influence maximization in social networks refers to the process of finding influential users who make the most of information or product adoption. The social networks is prone to grow exponentially, which makes it difficult to analyze. Critically, most of approaches in the literature focus only on m...
Autores principales: | Mnasri, Wassim, Azaouzi, Mehdi, Romdhane, Lotfi Ben |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938287/ https://www.ncbi.nlm.nih.gov/pubmed/34764589 http://dx.doi.org/10.1007/s10489-021-02203-x |
Ejemplares similares
-
Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks
por: Azcorra, A., et al.
Publicado: (2018) -
Joint Selection of Influential Users and Locations under Target Region in Location-Based Social Networks
por: Ali, Khurshed, et al.
Publicado: (2021) -
Interaction between official institutions and influential users of rumor control in online social networks
por: Bai, Shizhen, et al.
Publicado: (2022) -
Author Correction: Unsupervised Scalable Statistical Method for Identifying Influential Users in Online Social Networks
por: Azcorra, A., et al.
Publicado: (2019) -
An Investigation of Influential Users in the Promotion and Marketing of Heated Tobacco Products on Instagram: A Social Network Analysis
por: Gu, Jiayan, et al.
Publicado: (2022)