Title
Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information
Abstract
•Introduce a model to fuse local and global information in directed network.•The model can capture topological structures and robust to sparser networks.•Present an effective update rule to learn model parameters.•Experimental results show that our method is outperforms other indices.
Year
DOI
Venue
2020
10.1016/j.eswa.2020.113290
Expert Systems with Applications
Keywords
DocType
Volume
Link prediction,Nonnegative matrix factorization,PageRank,Asymmetric link clustering
Journal
148
Issue
ISSN
Citations 
C
0957-4174
2
PageRank 
References 
Authors
0.40
0
5
Name
Order
Citations
PageRank
Guangfu Chen141.10
Chen Xu226929.36
Jingyi Wang3173.61
Jianwen Feng4636.61
Jiqiang Feng5224.81