Understanding human behavior in urban spaces using social network data: A mobility graph approach
Public streams of geo-located social media information have provided researchers with a rich source of information from which to draw patterns of urban-scale human-mobility. However, most of the literature relies on assumptions over the spatial distribution of this data (e.g., by considering only a...
| Автори: | , , , , |
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| Формат: | Journal article |
| Опубліковано: |
IGI Global
2016
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