Table 3 Data set and detected bursty areas related to topic “rain”
From: Real-time analysis application for identifying bursty local areas related to emergency topics
Date | Number of | Number of | Number of | Number of | Detection |
|---|---|---|---|---|---|
geotagged | extracted | heavily | detected | rates | |
tweets | tweets | rainy | heavily rainy | ( B / A × 100) | |
areas ( A ) | areas ( B ) | ||||
2014/6/4 | 325095 | 2249 | 14 | 3 | 21.4 |
2014/6/6 | 312145 | 6401 | 19 | 7 | 70.0 |
2014/6/7 | 330540 | 4433 | 6 | 2 | 33.3 |
2014/6/13 | 346507 | 2589 | 4 | 0 | 0.00 |
2014/6/16 | 340675 | 750 | 4 | 2 | 50.0 |
2014/6/22 | 411863 | 4172 | 2 | 0 | 0.00 |
2014/6/23 | 355384 | 700 | 5 | 3 | 60.0 |
2014/6/25 | 393441 | 2331 | 21 | 11 | 52.4 |
2014/6/29 | 441959 | 4838 | 8 | 5 | 62.5 |
2014/7/3 | 341770 | 4738 | 16 | 6 | 37.5 |
2014/7/7 | 376734 | 4173 | 4 | 3 | 75.0 |
2014/7/8 | 366887 | 1405 | 5 | 4 | 80.0 |
2014/7/9 | 374707 | 4704 | 5 | 2 | 40.0 |
2014/7/10 | 395061 | 4803 | 3 | 0 | 0.00 |
2014/7/11 | 383704 | 1763 | 9 | 3 | 33.3 |
2014/7/19 | 412403 | 5369 | 6 | 3 | 50.0 |