Table 8.
AUC results of small datasets of online social networks
| Methods/datasets | AVG | DNC | FB | G+ | HSS | PTY |
|---|---|---|---|---|---|---|
| CN | 0.9008 | 0.9667 | 0.5033 | 0.9549 | 0.9616 | 0.8466 |
| Salton | 0.8834 | 0.9319 | 0.5249 | 0.9628 | 0.9703 | 0.8462 |
| JI | 0.8812 | 0.9309 | 0.4837 | 0.9626 | 0.9694 | 0.8468 |
| Sorens | 0.8803 | 0.9317 | 0.5061 | 0.9627 | 0.9691 | 0.8471 |
| HPI | 0.8798 | 0.8256 | 0.4969 | 0.9625 | 0.9675 | 0.8470 |
| HDI | 0.8827 | 0.9267 | 0.5276 | 0.9626 | 0.9712 | 0.8466 |
| LLHN | 0.8707 | 0.8074 | 0.4739 | 0.9625 | 0.9627 | 0.8468 |
| AA | 0.9009 | 0.9717 | 0.4965 | 0.9627 | 0.9709 | 0.8472 |
| RA | 0.9076 | 0.9714 | 0.5142 | 0.9624 | 0.9746 | 0.8474 |
| PA | 0.8946 | 0.9325 | 0.4590 | 0.9112 | 0.9447 | 0.8453 |
| LNBCN | 0.9033 | 0.9681 | 0.4879 | 0.9629 | 0.9704 | 0.8471 |
| LNBAA | 0.9036 | 0.9695 | 0.5384 | 0.9627 | 0.9705 | 0.8471 |
| LNBRA | 0.9063 | 0.9716 | 0.5168 | 0.9628 | 0.9736 | 0.8472 |
| TSCN | 0.5061 | 0.5077 | 0.5485 | 0.5137 | 0.5394 | 0.5925 |
| LPI | 0.9296 | 0.9629 | 0.4861 | 0.9705 | 0.9827 | 0.8579 |
| KI | 0.9262 | 0.9515 | 0.4327 | 0.9754 | 0.9835 | 0.8503 |
| GLHN | 0.6796 | 0.6327 | 0.4692 | 0.9792 | 0.9826 | 0.8618 |
| ACT | 0.8969 | 0.9532 | 0.9875 | 0.9829 | 0.9466 | 0.9622 |
| RWR | 0.9290 | 0.9617 | 0.4526 | 0.7304 | 0.9843 | 0.8505 |
| SR | 0.8637 | 0.8190 | 0.4368 | 0.6765 | 0.9802 | 0.8534 |
| LRW | 0.9302 | 0.9668 | 0.4457 | 0.7658 | 0.9855 | 0.8641 |
| SRW | 0.9292 | 0.9660 | 0.5135 | 0.7653 | 0.9807 | 0.8638 |
| MFI | 0.9115 | 0.9519 | 0.4983 | 0.7222 | 0.9814 | 0.8507 |
| SBM | 0.9105 | 0.9810 | 0.9856 | – | – | – |
| SVM | 0.6523 | 0.8546 | 0.8367 | 0.9116 | 0.8382 | 0.7878 |
| KNN | 0.6849 | 0.8367 | 0.5543 | 0.6946 | 0.9017 | 0.7896 |
| DT | 0.5694 | 0.6318 | 0.5230 | 0.6353 | 0.6006 | 0.6253 |
| Bayes | 0.8368 | 0.8416 | 0.6644 | 0.9651 | 0.9485 | 0.9003 |
| LR | 0.6316 | 0.8564 | 0.5891 | 0.9799 | 0.8847 | 0.5842 |
| MLP | 0.5849 | 0.8648 | 0.4492 | 0.8836 | 0.7934 | 0.7197 |
| MF | 0.9628 | 0.9837 | 0.9918 | – | 0.9572 | 0.9156 |
| DeepWalk | 0.5533 | 0.6352 | 0.8029 | 0.5697 | 0.6984 | 0.7932 |
| Node2vec | 0.8869 | 0.7138 | 0.9821 | 0.9602 | 0.9526 | 0.9859 |
| Struc2vec | 0.9044 | 0.9703 | 0.9762 | 0.9674 | 0.9701 | 0.9537 |
| GCN | 0.5831 | 0.7647 | 0.5694 | 0.5981 | 0.5630 | 0.6079 |
| GraphSAGE | 0.7591 | 0.9162 | 0.9954 | 0.8835 | 0.7794 | 0.7988 |
| WLNM | 0.8823 | 0.9497 | 0.9987 | 0.7756 | 0.9269 | 0.9537 |
| DGCNN | 0.9439 | 0.9420 | 0.9066 | 0.9131 | 0.9605 | 0.9226 |
| SEAL | 0.9486 | 0.9763 | 0.9898 | – | 0.9833 | 0.9684 |
| LINE | 0.7040 | 0.6775 | 0.5861 | 0.4669 | 0.8998 | 0.9218 |
| SDNE | 0.8725 | 0.7076 | 0.9309 | 0.9536 | 0.9475 | 0.9802 |
| VERSE | 0.9910 | 0.9970 | 0.9997 | 0.9998 | 0.9978 | 0.9916 |