| 1 | Japan | 0.87% | |
| 2 | India | 0.87% | |
| 3 | China | 0.87% | |
| 4 | US | 0.87% | |
| 5 | Gin | 0.87% | |
| 6 | Teen | 0.65% | |
| 7 | Fahmi | 0.65% | |
| 8 | New | 0.65% | |
| 9 | Reza | 0.65% | |
| 10 | PM | 0.65% | |
| 11 | Hoffman | 0.65% | |
| 12 | Archer | 0.65% | |
| 13 | Bridget | 0.65% | |
| 14 | Travel | 0.65% | |
| 15 | Bishop | 0.65% | |
| 16 | Trump | 0.65% | |
| 17 | Pheobe | 0.65% | |
| 18 | Sydney | 0.43% | |
| 19 | WWE | 0.43% | |
| 20 | Culture | 0.43% | |
| 21 | Economy | 0.43% | |
| 22 | Pope | 0.43% | |
| 23 | MP | 0.43% | |
| 24 | Update | 0.43% | |
| 25 | Leo | 0.43% | |
| 26 | Chinas | 0.43% | |
| 27 | Feeney | 0.43% | |
| 28 | Road | 0.43% | |
| 29 | Laing | 0.43% | |
| 30 | May | 0.43% | |
| 31 | AI | 0.43% | |
| 32 | Harry | 0.43% | |
| 33 | DNA | 0.43% | |
| 34 | Whyalla | 0.43% | |
| 35 | Perth | 0.43% | |
| 36 | Monaco | 0.43% | |
| 37 | Times | 0.43% | |
| 38 | Return | 0.43% | |
| 39 | ‘The | 0.43% | |
| 40 | South | 0.43% | |
| 41 | Robbie | 0.43% | |
| 42 | Armadale | 0.43% | |
| 43 | Let | 0.43% | |
| 44 | UFC | 0.43% | |
| 45 | Apple | 0.43% | |
| 46 | Up | 0.22% | |
| 47 | Crohns | 0.22% | |
| 48 | Here’s | 0.22% | |
| 49 | GFG | 0.22% | |
| 50 | Miguel | 0.22% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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