Name
Abstract | ||
|---|---|---|
•A novel two-stage optimization method is proposed for network community partition.•Clever mechanism with the centrality information for referencing new benchmarks.•New affinity matrix is built to solve cases missing nodewise similarities.•Variational primal-dual analysis for the convex optimization problem.•Our optimization method stays high performance under shortage of benchmark nodes. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.apm.2019.05.025 | Applied Mathematical Modelling |
Keywords | DocType | Volume |
Semi-supervised learning,Two-stage strategy,Community partition,Benchmark expansion | Journal | 75 |
ISSN | Citations | PageRank |
0307-904X | 1 | 0.35 |
References | Authors | |
18 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi-Guang Bai | 1 | 2 | 0.71 |
| San-Yang Liu | 2 | 461 | 28.78 |
| Ke Yin | 3 | 1 | 0.35 |
| Jing Yuan | 4 | 1 | 0.35 |