Cargando…
Weight prediction in complex networks based on neighbor set
Link weights are essential to network functionality, so weight prediction is important for understanding weighted networks given incomplete real-world data. In this work, we develop a novel method for weight prediction based on the local network structure, namely, the set of neighbors of each node....
Autores principales: | Zhu, Boyao, Xia, Yongxiang, Zhang, Xue-Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131472/ https://www.ncbi.nlm.nih.gov/pubmed/27905497 http://dx.doi.org/10.1038/srep38080 |
Ejemplares similares
-
Link Prediction in Weighted Networks: A Weighted Mutual Information Model
por: Zhu, Boyao, et al.
Publicado: (2016) -
An information-theoretic model for link prediction in complex networks
por: Zhu, Boyao, et al.
Publicado: (2015) -
Link Prediction in Complex Networks: A Mutual Information Perspective
por: Tan, Fei, et al.
Publicado: (2014) -
Predicting missing links in complex networks based on common neighbors and distance
por: Yang, Jinxuan, et al.
Publicado: (2016) -
Similarity-based future common neighbors model for link prediction in complex networks
por: Li, Shibao, et al.
Publicado: (2018)