Name
Abstract | ||
|---|---|---|
Social media has become a critical source of information for the public, government authorities, and other stakeholders both during and after large-scale emergencies. However, the sheer volume of data and the low signal-to-noise ratio, with respect to information, limit the effectiveness and the efficiency of using social media as an intelligence resource. In this paper, we describe Australian Cri... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1147/JRD.2017.2729238 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Social network services,Government,Information technology,Resource management,Media streaming,Australia,Data collection,Disasters,Emergency services | Data science,Metadata,Social media,Geocoding,Computer science,Emergency management,Natural disaster,Real-time computing,Application programming interface,Analytics,Government | Journal |
Volume | Issue | ISSN |
61 | 6 | 0018-8646 |
Citations | PageRank | References |
0 | 0.34 | 21 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanita Sherchan | 1 | 365 | 17.51 |
| Shaila Pervin | 2 | 3 | 1.78 |
| Christopher J. Butler | 3 | 1 | 1.36 |
| Jennifer C. Lai | 4 | 1675 | 569.09 |
| Lida Ghahremanloo | 5 | 0 | 0.34 |
| Bo Han | 6 | 593 | 29.85 |