Cargando…
Identification of nodes influence based on global structure model in complex networks
Identification of Influential nodes in complex networks is challenging due to the largely scaled data and network sizes, and frequently changing behaviors of the current topologies. Various application scenarios like disease transmission and immunization, software virus infection and disinfection, i...
Autores principales: | Ullah, Aman, Wang, Bin, Sheng, JinFang, Long, Jun, Khan, Nasrullah, Sun, ZeJun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969936/ https://www.ncbi.nlm.nih.gov/pubmed/33731720 http://dx.doi.org/10.1038/s41598-021-84684-x |
Ejemplares similares
-
Identifying Communities in Dynamic Networks Using Information Dynamics
por: Sun, Zejun, et al.
Publicado: (2020) -
Influential nodes identification using network local structural properties
por: Wang, Bin, et al.
Publicado: (2022) -
Research on Community Detection in Complex Networks Based on Internode Attraction
por: Sheng, Jinfang, et al.
Publicado: (2020) -
Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation
por: Khan, Nasrullah, et al.
Publicado: (2022) -
Exploring influential nodes using global and local information
por: Hu, Haifeng, et al.
Publicado: (2022)