Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks
Joint Authors
Dong, Enming
Xie, Zheng
Li, Jianping
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Low rank matrices approximations have been used in link prediction for networks, which are usually global optimal methods and lack of using the local information.
The block structure is a significant local feature of matrices: entities in the same block have similar values, which implies that links are more likely to be found within dense blocks.
We use this insight to give a probabilistic latent variable model for finding missing links by convex nonnegative matrix factorization with block detection.
The experiments show that this method gives better prediction accuracy than original method alone.
Different from the original low rank matrices approximations methods for link prediction, the sparseness of solutions is in accord with the sparse property for most real complex networks.
Scaling to massive size network, we use the block information mapping matrices onto distributed architectures and give a divide-and-conquer prediction method.
The experiments show that it gives better results than common neighbors method when the networks have a large number of missing links.
American Psychological Association (APA)
Dong, Enming& Li, Jianping& Xie, Zheng. 2014. Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-497979
Modern Language Association (MLA)
Dong, Enming…[et al.]. Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks. Journal of Applied Mathematics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-497979
American Medical Association (AMA)
Dong, Enming& Li, Jianping& Xie, Zheng. Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-497979
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497979