| 1 | Lyon. | 4.41% | |
| 2 | National | 2.94% | |
| 3 | CDMX | 2.94% | |
| 4 | Washington | 2.94% | |
| 5 | D.C. | 2.94% | |
| 6 | News | 2.94% | |
| 7 | lIle | 1.47% | |
| 8 | Milano | 1.47% | |
| 9 | Barbe | 1.47% | |
| 10 | America | 1.47% | |
| 11 | State | 1.47% | |
| 12 | Stores | 1.47% | |
| 13 | Adrian | 1.47% | |
| 14 | Franca | 1.47% | |
| 15 | Could | 1.47% | |
| 16 | Day | 1.47% | |
| 17 | Marseille | 1.47% | |
| 18 | New | 1.47% | |
| 19 | Family | 1.47% | |
| 20 | Banashi | 1.47% | |
| 21 | Croix-Rousse | 1.47% | |
| 22 | Find | 1.47% | |
| 23 | York | 1.47% | |
| 24 | City | 1.47% | |
| 25 | Streetsblog | 1.47% | |
| 26 | Southeast | 1.47% | |
| 27 | Illegal | 1.47% | |
| 28 | Martina | 1.47% | |
| 29 | Honor | 1.47% | |
| 30 | Balearon | 1.47% | |
| 31 | Chema | 1.47% | |
| 32 | Vintage | 1.47% | |
| 33 | Lyon | 1.47% | |
| 34 | Parking | 1.47% | |
| 35 | DC | 1.47% | |
| 36 | Martinez | 1.47% | |
| 37 | Quien | 1.47% | |
| 38 | Nab | 1.47% | |
| 39 | Peut-on | 1.47% | |
| 40 | Sweepers | 1.47% | |
| 41 | Une | 1.47% | |
| 42 | World | 1.47% | |
| 43 | Denim | 1.47% | |
| 44 | Arnaques | 1.47% | |
| 45 | Bill | 1.47% | |
| 46 | Mukashi | 1.47% | |
| 47 | Best | 1.47% | |
| 48 | Technical | 1.47% | |
| 49 | Presentan | 1.47% | |
| 50 | Angeles | 1.47% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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