Uncovering Community Structures with Initialized Bayesian Nonnegative Matrix Factorization
Uncovering community structures is important for understanding networks. Currently, several nonnegative matrix factorization algorithms have been proposed for discovering community structure in complex networks. However, these algorithms exhibit some drawbacks, such as unstable results and inefficie...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2014
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182427/ |