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Recurrent spatio-temporal modeling of check-ins in location-based social networks
Social networks are getting closer to our real physical world. People share the exact location and time of their check-ins and are influenced by their friends. Modeling the spatio-temporal behavior of users in social networks is of great importance for predicting the future behavior of users, contro...
Sparad:
| I publikationen: | PLoS One |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Public Library of Science
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5965852/ https://ncbi.nlm.nih.gov/pubmed/29791463 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0197683 |
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