Name
Title | ||
|---|---|---|
Leave or not leave? Group members’ departure prediction in dynamic information networks |
Abstract | ||
|---|---|---|
•Group members’ departure prediction in dynamic information networks is meaningful.•Only utilizing neighborhood information causes precision loss.•A novel group-combined activeness score of each user is proposed.•An unsupervised prediction algorithm with a sliding window is presented.•Experiments show that our algorithm effectively improves prediction precision. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2021.04.015 | Information Sciences |
Keywords | DocType | Volume |
Dynamic information network,Unsupervised group members’ departure prediction,Users’ group-combined score,Sliding window | Journal | 569 |
ISSN | Citations | PageRank |
0020-0255 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinrui Wang | 1 | 1 | 0.70 |
| Hong Gao | 2 | 1086 | 120.07 |
| Zhipeng Cai | 3 | 1928 | 132.81 |
| Jianzhong Li | 4 | 63 | 24.23 |