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dc.contributor.author
Sarraute, Carlos
dc.contributor.author
Blanc, Pablo
dc.contributor.author
Brea, Jorge Nicolás
dc.date.available
2024-11-15T11:56:57Z
dc.date.issued
2014
dc.identifier.citation
A study of age and gender seen through mobile phone usage patterns in Mexico; 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM); Beijing; China; 2014; 836-843
dc.identifier.isbn
978-1-4799-5877-1
dc.identifier.uri
http://hdl.handle.net/11336/248187
dc.description.abstract
Mobile phone usage provides a wealth of information, which can be used to better understand the demographic structure of a population. In this paper we focus on the population of Mexican mobile phone users. Our first contribution is an observational study of mobile phone usage according to gender and age groups. We were able to detect significant differences in phone usage among different subgroups of the population. Our second contribution is to provide a novel methodology to predict demographic features (namely age and gender) of unlabeled users by leveraging individual calling patterns, as well as the structure of the communication graph. We provide details of the methodology and show experimental results on a real world dataset that involves millions of users.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Mobile handsets
dc.subject
Sociology
dc.subject
Statistics
dc.subject
Prediction algorithms
dc.subject
Social network services
dc.subject
Algorithm design and analysis
dc.subject
Machine learning algorithms
dc.subject.classification
Otras Ciencias de la Computación e Información
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A study of age and gender seen through mobile phone usage patterns in Mexico
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:ar-repo/semantics/documento de conferencia
dc.date.updated
2024-09-03T13:26:48Z
dc.journal.pagination
836-843
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Piscataway
dc.description.fil
Fil: Sarraute, Carlos. Grandata Labs; Argentina
dc.description.fil
Fil: Blanc, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigaciones Matemáticas "Luis A. Santaló". Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Matemáticas "Luis A. Santaló"; Argentina
dc.description.fil
Fil: Brea, Jorge Nicolás. Grandata Labs; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1109/ASONAM.2014.6921683
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.computer.org/csdl/proceedings/asonam/2014/5877/00/06921683-abs.html
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6921683
dc.conicet.rol
Autor
dc.conicet.rol
Autor
dc.conicet.rol
Autor
dc.coverage
Internacional
dc.type.subtype
Conferencia
dc.description.nombreEvento
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
dc.date.evento
2014-08-17
dc.description.ciudadEvento
Beijing
dc.description.paisEvento
China
dc.type.publicacion
Book
dc.description.institucionOrganizadora
Institute of Electrical and Electronics Engineers
dc.source.libro
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
dc.date.eventoHasta
2014-08-20
dc.type
Conferencia
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