| 1 | Karla | 1.8% | |
| 2 | Markle | 1.8% | |
| 3 | Buckingham | 1.8% | |
| 4 | Dia | 1.8% | |
| 5 | Meghan | 1.8% | |
| 6 | Miami | 1.8% | |
| 7 | Palace | 1.8% | |
| 8 | Felix | 0.9% | |
| 9 | Carolina | 0.9% | |
| 10 | Oriana | 0.9% | |
| 11 | Mexico | 0.9% | |
| 12 | Sorkin | 0.9% | |
| 13 | Moura | 0.9% | |
| 14 | Director | 0.9% | |
| 15 | Weinstein’s | 0.9% | |
| 16 | Streisand | 0.9% | |
| 17 | King | 0.9% | |
| 18 | ‘We | 0.9% | |
| 19 | ensina | 0.9% | |
| 20 | January | 0.9% | |
| 21 | Guillermo | 0.9% | |
| 22 | Network | 0.9% | |
| 23 | Disneyland | 0.9% | |
| 24 | Daniele | 0.9% | |
| 25 | Luz | 0.9% | |
| 26 | Film | 0.9% | |
| 27 | Dolores | 0.9% | |
| 28 | DeGeneres | 0.9% | |
| 29 | Russia | 0.9% | |
| 30 | Civil | 0.9% | |
| 31 | ‘evil’ | 0.9% | |
| 32 | Guerra | 0.9% | |
| 33 | Menai | 0.9% | |
| 34 | Aranguiz | 0.9% | |
| 35 | Beach | 0.9% | |
| 36 | ‘Casate | 0.9% | |
| 37 | Wazowski | 0.9% | |
| 38 | Ellen | 0.9% | |
| 39 | Valdivia | 0.9% | |
| 40 | Michelin | 0.9% | |
| 41 | Panini | 0.9% | |
| 42 | CDMX | 0.9% | |
| 43 | Mexico? | 0.9% | |
| 44 | Aaron | 0.9% | |
| 45 | Francella | 0.9% | |
| 46 | Moscow | 0.9% | |
| 47 | Cruz | 0.9% | |
| 48 | Alma | 0.9% | |
| 49 | Joven | 0.9% | |
| 50 | Marc | 0.9% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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