Mobility and sociocultural events in mobile phone data records
The massive amounts of geolocation data collected from mobile phone records have sparked an ongoing effort to understand and predict the mobility patterns of human beings. In this work, we study the extent to which social phenomena are reflected in mobile phone data, providing some proof-of-principl...
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| Otros Autores: | , , , , |
| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
IOS Press
2016
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| 008 | 190411s2016 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-84954216194 | |
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 030 | |a ACMME | ||
| 100 | 1 | |a Ponieman, N.B. | |
| 245 | 1 | 0 | |a Mobility and sociocultural events in mobile phone data records |
| 260 | |b IOS Press |c 2016 | ||
| 270 | 1 | 0 | |m Sarraute, C.; Grandata LabsArgentina; email: charles@grandata.com |
| 506 | |2 openaire |e Política editorial | ||
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| 504 | |a Song, C., Limits of predictability in human mobility (2010) Science, 327 (5968), pp. 1018-1021 | ||
| 504 | |a Wang, D., Pedreschi, D., Song, C., Giannotti, F., Barabasi, A.-L., Human mobility, social ties, and link prediction (2011) Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1100-1108. , ACM | ||
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| 520 | 3 | |a The massive amounts of geolocation data collected from mobile phone records have sparked an ongoing effort to understand and predict the mobility patterns of human beings. In this work, we study the extent to which social phenomena are reflected in mobile phone data, providing some proof-of-principle examples. We illustrate in various ways how these events are reflected in the data, and show how information about the events can be used to improve predictability in a simple model for a mobile phone user's location. We further propose a method for the automatic detection of such events and discuss their relation to the social fabric as derived from mobile phone communications. © 2016 - IOS Press and the authors. All rights reserved. |l eng | |
| 593 | |a Grandata Labs, Buenos Aires, Argentina | ||
| 593 | |a Department of Computer Science, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Physics Department, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a Instituto de Cálculo, Universidad de Buenos Aires, Buenos Aires, Argentina | ||
| 593 | |a CONICET, Buenos Aires, Argentina | ||
| 690 | 1 | 0 | |a HUMAN MOBILITY |
| 690 | 1 | 0 | |a HUMAN PREDICTABILITY |
| 690 | 1 | 0 | |a SOCIAL PHENOMENA |
| 690 | 1 | 0 | |a MOBILE PHONES |
| 690 | 1 | 0 | |a TELEPHONE SETS |
| 690 | 1 | 0 | |a AUTOMATIC DETECTION |
| 690 | 1 | 0 | |a HUMAN MOBILITY |
| 690 | 1 | 0 | |a HUMAN PREDICTABILITY |
| 690 | 1 | 0 | |a MOBILE PHONE DATUM |
| 690 | 1 | 0 | |a MOBILE-PHONE USERS |
| 690 | 1 | 0 | |a MOBILITY PATTERN |
| 690 | 1 | 0 | |a PROOF OF PRINCIPLES |
| 690 | 1 | 0 | |a SOCIAL PHENOMENA |
| 690 | 1 | 0 | |a CELLULAR TELEPHONES |
| 700 | 1 | |a Sarraute, C. | |
| 700 | 1 | |a Minnoni, M. | |
| 700 | 1 | |a Travizano, M. | |
| 700 | 1 | |a Rodriguez Zivic, P. | |
| 700 | 1 | |a Salles, A. | |
| 773 | 0 | |d IOS Press, 2016 |g v. 29 |h pp. 77-86 |k n. 1 |p AI Commun |x 09217126 |t AI Communications | |
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