Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks

Identifying the most influential spreaders that maximize information flow is a central question in network theory. Recently, a scalable method called “Collective Influence (CI)” has been put forward through collective influence maximization. In contrast to heuristic methods evaluating nodes’ signifi...

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Detalles Bibliográficos
Autores principales: Teng, Xian, Pei, Sen, Morone, Flaviano, Makse, Hernán A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080555/
https://www.ncbi.nlm.nih.gov/pubmed/27782207
http://dx.doi.org/10.1038/srep36043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080555/
https://www.ncbi.nlm.nih.gov/pubmed/27782207
http://dx.doi.org/10.1038/srep36043

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