Human Mobility Prediction Based on Social Media with Complex Event Processing
The combination of mobile and social media sensors is foreseen to become a crucial course of action so as to comprehensively capture and understand the movement of people in large spatial regions. In that sense, the present work describes a novel personal location predictor that makes use of these t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-08-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/155014775836392 |
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| _version_ | 1849766411358961664 |
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| author | Fernando Terroso-Sáenz Jesús Cuenca-Jara Aurora González-Vidal Antonio F. Skarmeta |
| author_facet | Fernando Terroso-Sáenz Jesús Cuenca-Jara Aurora González-Vidal Antonio F. Skarmeta |
| author_sort | Fernando Terroso-Sáenz |
| collection | DOAJ |
| description | The combination of mobile and social media sensors is foreseen to become a crucial course of action so as to comprehensively capture and understand the movement of people in large spatial regions. In that sense, the present work describes a novel personal location predictor that makes use of these two types of sensors. Firstly, it extracts the mobility models of an area capturing aspects related to particular users along with crowd-based features on the basis of geotagged tweets . Unlike previous approaches, the proposed solution mines such models in an online manner so that no previous off-line training is required. Then, on the basis of such models, a predictor able to forecast the next activity and position of a user is developed. Finally, the described approach is tested by using Twitter datasets from two different cities. |
| format | Article |
| id | doaj-art-b3a4c105697b476b9992e4d47005f4df |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-08-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b3a4c105697b476b9992e4d47005f4df2025-08-20T03:04:35ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-08-011210.1177/155014775836392Human Mobility Prediction Based on Social Media with Complex Event ProcessingFernando Terroso-SáenzJesús Cuenca-JaraAurora González-VidalAntonio F. SkarmetaThe combination of mobile and social media sensors is foreseen to become a crucial course of action so as to comprehensively capture and understand the movement of people in large spatial regions. In that sense, the present work describes a novel personal location predictor that makes use of these two types of sensors. Firstly, it extracts the mobility models of an area capturing aspects related to particular users along with crowd-based features on the basis of geotagged tweets . Unlike previous approaches, the proposed solution mines such models in an online manner so that no previous off-line training is required. Then, on the basis of such models, a predictor able to forecast the next activity and position of a user is developed. Finally, the described approach is tested by using Twitter datasets from two different cities.https://doi.org/10.1177/155014775836392 |
| spellingShingle | Fernando Terroso-Sáenz Jesús Cuenca-Jara Aurora González-Vidal Antonio F. Skarmeta Human Mobility Prediction Based on Social Media with Complex Event Processing International Journal of Distributed Sensor Networks |
| title | Human Mobility Prediction Based on Social Media with Complex Event Processing |
| title_full | Human Mobility Prediction Based on Social Media with Complex Event Processing |
| title_fullStr | Human Mobility Prediction Based on Social Media with Complex Event Processing |
| title_full_unstemmed | Human Mobility Prediction Based on Social Media with Complex Event Processing |
| title_short | Human Mobility Prediction Based on Social Media with Complex Event Processing |
| title_sort | human mobility prediction based on social media with complex event processing |
| url | https://doi.org/10.1177/155014775836392 |
| work_keys_str_mv | AT fernandoterrososaenz humanmobilitypredictionbasedonsocialmediawithcomplexeventprocessing AT jesuscuencajara humanmobilitypredictionbasedonsocialmediawithcomplexeventprocessing AT auroragonzalezvidal humanmobilitypredictionbasedonsocialmediawithcomplexeventprocessing AT antoniofskarmeta humanmobilitypredictionbasedonsocialmediawithcomplexeventprocessing |