| 1 | [Editorial] | 12.5% | |
| 2 | [Eric | 2.78% | |
| 3 | Posner] | 2.78% | |
| 4 | Choon-sik] | 2.78% | |
| 5 | [Kim | 2.78% | |
| 6 | [Yoo | 2.78% | |
| 7 | AI | 2.78% | |
| 8 | Seong-kon] | 2.78% | |
| 9 | Times’ | 1.39% | |
| 10 | Beyond | 1.39% | |
| 11 | Fouser] | 1.39% | |
| 12 | Singer] | 1.39% | |
| 13 | Time | 1.39% | |
| 14 | National | 1.39% | |
| 15 | Pension | 1.39% | |
| 16 | Korea’s | 1.39% | |
| 17 | New | 1.39% | |
| 18 | Golden | 1.39% | |
| 19 | Kao] | 1.39% | |
| 20 | Son-taek] | 1.39% | |
| 21 | [Wang | 1.39% | |
| 22 | Cambridge | 1.39% | |
| 23 | [Antoinette | 1.39% | |
| 24 | Managing | 1.39% | |
| 25 | Israel | 1.39% | |
| 26 | Girls | 1.39% | |
| 27 | Democracy | 1.39% | |
| 28 | Flashpoint | 1.39% | |
| 29 | War | 1.39% | |
| 30 | Ross] | 1.39% | |
| 31 | [Robert | 1.39% | |
| 32 | Gaza | 1.39% | |
| 33 | [Dennis | 1.39% | |
| 34 | Korea | 1.39% | |
| 35 | Will | 1.39% | |
| 36 | J. | 1.39% | |
| 37 | Words | 1.39% | |
| 38 | Seoul | 1.39% | |
| 39 | Miami | 1.39% | |
| 40 | Sierakowski] | 1.39% | |
| 41 | Tone] | 1.39% | |
| 42 | [Grace | 1.39% | |
| 43 | Trumps | 1.39% | |
| 44 | [Peter | 1.39% | |
| 45 | No | 1.39% | |
| 46 | ‘Memoirs | 1.39% | |
| 47 | South | 1.39% | |
| 48 | [Sławomir | 1.39% | |
| 49 | Burton] | 1.39% | |
| 50 | Middle | 1.39% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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