Identifying influential spreaders by gravity model

Identifying influential spreaders in complex networks is crucial in understanding, controlling and accelerating spreading processes for diseases, information, innovations, behaviors, and so on. Inspired by the gravity law, we propose a gravity model that utilizes both neighborhood information and pa...

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Detalles Bibliográficos
Autores principales: Li, Zhe, Ren, Tao, Ma, Xiaoqi, Liu, Simiao, Zhang, Yixin, Zhou, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557850/
https://www.ncbi.nlm.nih.gov/pubmed/31182773
http://dx.doi.org/10.1038/s41598-019-44930-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557850/
https://www.ncbi.nlm.nih.gov/pubmed/31182773
http://dx.doi.org/10.1038/s41598-019-44930-9

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