Rank | Trending Topic | Tweet Data Analytics | Tweet Volume |
---|---|---|---|
1 | jungkook | jungkook | 1803112 |
2 | Fernández | 239882 | |
3 | TAEKOOK | 215292 | |
4 | London | 185370 | |
5 | Mbappé | 87219 | |
6 | Anne | 81522 | |
7 | Defensa | 81413 | |
8 | Betis | 49261 | |
9 | Lewis | 49110 | |
10 | Patricia | 46771 | |
11 | Excel | 32629 | |
12 | Montpellier | 24671 | |
13 | Maldonado | 22608 | |
14 | Bullrich | 21323 | |
15 | Londres | 20227 | |
16 | Pato | 19525 | |
17 | Arietto | 18280 | |
18 | Lago Escondido | 12526 | |
19 | Astesiano | 10643 | |
20 | Reino Unido | 10389 | |
21 | #CréditoArgentino | Less than 10k | |
22 | #ElHotelDeLosFamosos | Less than 10k | |
23 | PyMEs | Less than 10k | |
24 | Larrata | Less than 10k | |
25 | Agustín Guardis | Less than 10k | |
26 | #JusticiaPorLucioDupuy | Less than 10k | |
27 | #CopaArgentina | Less than 10k | |
28 | Fabián Ruiz | Less than 10k | |
29 | Gardel | Less than 10k | |
30 | #VOLEYenDEPORTV | Less than 10k | |
31 | La Pampa | Less than 10k | |
32 | Ituzaingó | Less than 10k | |
33 | La T y la M | Less than 10k | |
34 | #TodosTusMuertos | Less than 10k | |
35 | Quilmes | Less than 10k | |
36 | Comodoro Py | Less than 10k | |
37 | Pavone | Less than 10k | |
38 | Fillol | Less than 10k | |
39 | Chacarita | Less than 10k | |
40 | Lacoste | Less than 10k |