Detecting home countries of social media users with machine-learned ranking approach
A case study in Hong Kong
Bibliographic Data
| ID | 21450177 |
|---|---|
| Authors | Zhewei Liu (0000-0002-4023-9142, Hong Kong Polytechnic University), Wenzhong Shi (0000-0002-3886-7027, Hong Kong Polytechnic University, corresponding author), Anshu Zhang (0000-0001-7158-8292, Hong Kong Polytechnic University) |
| Year | 2021 |
| Volume | 134 |
| Pages | 102532 |
| Publication date | 2021-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2021.102532 |
| OpenAlex | W3189328487 |
| Language | EN |
| Citations received | 4 |
| References cited | 28 |
Advertising · Business · Geography · Ranking (information retrieval) · Regional science · Social media · World Wide Web · Artificial Intelligence · Computer Science · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Urban Transport and Accessibility
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |