Identification of nodes influence based on global structure model in complex networks
Abstract 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 disinf...
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Autores principales: | , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/444fd16775aa48629b8cea50ff4561e9 |
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