Rank | Trending Topic | Tweet Data Analytics | Tweet Volume |
---|---|---|---|
1 | Ohio | 1151900 | |
2 | Unión | Unión | 165654 |
3 | namjoon | 133170 | |
4 | #StrayKids | 120346 | |
5 | #TOP100KPOPLEADERS | 101124 | |
6 | Everton | Everton | 94406 |
7 | San Valentín | 79981 | |
8 | Karl | 34320 | |
9 | Darwin | 27992 | |
10 | Alonso | 24271 | |
11 | #BangChan | 18543 | |
12 | Mañana 14 | 16893 | |
13 | Aston Martin | 16768 | |
14 | Vecino | 14763 | |
15 | Donda | Less than 10k | |
16 | INADI | Less than 10k | |
17 | #BarracasCentral | Less than 10k | |
18 | Aued | Less than 10k | |
19 | #ElHotelDeLosFamosos | Less than 10k | |
20 | Margus Guarnocchio | Less than 10k | |
21 | nati jota | Less than 10k | |
22 | #FEIDConFMLike | Less than 10k | |
23 | Marabel | Less than 10k | |
24 | Natuti | Less than 10k | |
25 | Zeballos | Less than 10k | |
26 | Flor de la V | Less than 10k | |
27 | Babylon | Less than 10k | |
28 | #LargoLaCarrera | Less than 10k | |
29 | Changuito | Less than 10k | |
30 | #LaVirginia | Less than 10k | |
31 | marti benza | Less than 10k | |
32 | COBOL | Less than 10k | |
33 | #mileienmasrealidad | Less than 10k | |
34 | Chango | Less than 10k | |
35 | Colmenero | Less than 10k | |
36 | #TeParaMarcos | Less than 10k | |
37 | Otro 14 | Less than 10k | |
38 | Cazzu | Less than 10k | |
39 | Pablo Agustín | Less than 10k | |
40 | Heller | Less than 10k | |
41 | Mancuso | Less than 10k | |
42 | ENRE | Less than 10k | |
43 | Lousteau | Less than 10k | |
44 | Balbo | Less than 10k | |
45 | Aracre | Less than 10k | |
46 | Canale | Less than 10k | |
47 | Piris | Less than 10k | |
48 | Varela | Less than 10k | |
49 | #Lanus | Less than 10k |