Name
Title | ||
|---|---|---|
An overlapping network community partition algorithm based on semi-supervised matrix factorization and random walk. |
Abstract | ||
|---|---|---|
•We combine the prior content information in the network to construct a must-link matrix and a cannot-link matrix.•We propose an algorithm based on semi-supervised matrix factorization and random walk.•The random walk model based on node convergence degree is combined with nonnegative matrix factorization. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.09.007 | Expert Systems with Applications |
Keywords | Field | DocType |
Matrix factorization,Random walk,Node convergence degree,Node influence | Loop-erased random walk,Eight-point algorithm,Matrix (mathematics),Computer science,Matrix decomposition,Degree matrix,Distance matrix,Cuthill–McKee algorithm,Artificial intelligence,Sparse matrix,Machine learning | Journal |
Volume | Issue | ISSN |
91 | C | 0957-4174 |
Citations | PageRank | References |
5 | 0.45 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weimin Li | 1 | 63 | 25.40 |
| Jun Xie | 2 | 54 | 10.91 |
| Mingjun Xin | 3 | 41 | 10.73 |
| Jun Mo | 4 | 9 | 1.61 |