Name
Abstract | ||
|---|---|---|
•Propose a new conception of hidden community for network analysis.•Provide a meta-approach called HICODE for finding the hidden communities.•Several weakening methods are proposed to reduce the impact of the detected structure.•The framework works iteratively to enhance the detection on both dominant communities and hidden communities.•Extensive experiments demonstrate the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ins.2017.10.019 | Information Sciences |
Keywords | DocType | Volume |
Community detection,Hidden community,Structure mining,Social networks | Journal | 425 |
Issue | ISSN | Citations |
C | 0020-0255 | 11 |
PageRank | References | Authors |
0.62 | 26 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kun He | 1 | 305 | 42.88 |
| Yingru Li | 2 | 11 | 0.62 |
| Sucheta Soundarajan | 3 | 120 | 15.00 |
| John Hopcroft | 4 | 4245 | 1836.70 |