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Understanding Human Mobility from Twitter
Understanding human mobility is crucial for a broad range of applications from disease prediction to communication networks. Most efforts on studying human mobility have so far used private and low resolution data, such as call data records. Here, we propose Twitter as a proxy for human mobility, as...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4496063/ https://ncbi.nlm.nih.gov/pubmed/26154597 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0131469 |
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