Name
Abstract | ||
|---|---|---|
Location-Based Social Networks (LBSNs) have been widely used as a primary data source for studying the impact of mobility and social relationships on each other. Traditional approaches manually define features to characterize users’ mobility homophily and social proximity, and show that mobility and social features can help friendship and location prediction tasks, respectively. However, these han... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TKDE.2020.2997869 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Task analysis,Social network services,Semantics,Marine vehicles,Data models,Predictive models,Correlation | Journal | 34 |
Issue | ISSN | Citations |
4 | 1041-4347 | 2 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dingqi Yang | 1 | 542 | 28.79 |
| Bingqing Qu | 2 | 121 | 5.63 |
| Jie Yang | 3 | 116 | 18.47 |
| o de troyer | 4 | 1708 | 134.92 |