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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...
Autores principales: | Li, Zhe, Ren, Tao, Ma, Xiaoqi, Liu, Simiao, Zhang, Yixin, Zhou, Tao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
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 |
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