Link prediction in complex networks via matrix perturbation and decomposition

Link prediction in complex networks aims at predicting the missing links from available datasets which are always incomplete and subject to interfering noises. To obtain high prediction accuracy one should try to complete the missing information and at the same time eliminate the interfering noise f...

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Detalles Bibliográficos
Autores principales: Xu, Xiaoya, Liu, Bo, Wu, Jianshe, Jiao, Licheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677011/
https://www.ncbi.nlm.nih.gov/pubmed/29116210
http://dx.doi.org/10.1038/s41598-017-14847-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677011/
https://www.ncbi.nlm.nih.gov/pubmed/29116210
http://dx.doi.org/10.1038/s41598-017-14847-2

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