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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