Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information

Title
Nonnegative matrix factorization for link prediction in directed complex networks using PageRank and asymmetric link clustering information
Authors
Keywords
Link prediction, Nonnegative matrix factorization, PageRank, Asymmetric link clustering
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 148, Issue -, Pages 113290
Publisher
Elsevier BV
Online
2020-02-07
DOI
10.1016/j.eswa.2020.113290

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now