Table 1. Twitter datasets.
Dataset name | Region | Keywords | Time period | Locational accuracy | Number of tweets | |
---|---|---|---|---|---|---|
Temporal analysis | Temporal Matthew-related | FL, GA, SC, NC, VA | matthew, hurricane*, evac*, storm* | 10/02–10/11 | State, City, Point | 64,189 |
Temporal Evacuation-related | FL, GA, SC | evac* | 10/02–10/11 | State, City, Point | 7,735 | |
Spatial analysis | Spatial Matthew-related | FL, GA, SC, NC, VA | matthew, hurricane*, evac*, storm* | 10/02–10/11 | City, Point | 54,509 |
Twitter Population | FL, GA, SC, NC, VA | * | 09/15–10/15 | City, Point | 4,706,685 | |
Evacuation behavior | Pre-evacuation | SC coastal counties | * | 10/02–10/04 | City, Point | 13,370 |
Post-evacuation | US | * | 10/07, 6pm—10/09, 10am | City, Point | 13,685 | |
Return | US | * | 10/09, 10am– 10/19 | City, Point | 19,216 |