Cargando…
Efficient collective influence maximization in cascading processes with first-order transitions
In many social and biological networks, the collective dynamics of the entire system can be shaped by a small set of influential units through a global cascading process, manifested by an abrupt first-order transition in dynamical behaviors. Despite its importance in applications, efficient identifi...
Autores principales: | Pei, Sen, Teng, Xian, Shaman, Jeffrey, Morone, Flaviano, Makse, Hernán A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368649/ https://www.ncbi.nlm.nih.gov/pubmed/28349988 http://dx.doi.org/10.1038/srep45240 |
Ejemplares similares
-
Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
por: Teng, Xian, et al.
Publicado: (2016) -
Inference and control of the nosocomial transmission of methicillin-resistant Staphylococcus aureus
por: Pei, Sen, et al.
Publicado: (2018) -
Symmetry group factorization reveals the structure-function relation in the neural connectome of Caenorhabditis elegans
por: Morone, Flaviano, et al.
Publicado: (2019) -
Collective Influence Algorithm to find influencers via optimal percolation in massively large social media
por: Morone, Flaviano, et al.
Publicado: (2016) -
Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump
por: Bovet, Alexandre, et al.
Publicado: (2018)