Social Events in a Time-Varying Mobile Phone Graph

The large-scale study of human mobility has been significantly enhanced over the last decade by the massive use of mobile phones in urban populations. Studying the activity of mobile phones allows us, not only to infer social networks between individuals, but also to observe the movements of these i...

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Detalles Bibliográficos
Autores principales: Sarraute, Carlos, Brea, Jorge, Burroni, Javier, Wehmuth, Klaus, Ziviani, Arthur, Alvarez Hamelin, José I.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2015
Materias:
Ciencias Informáticas
big data
event antenna
Teléfono Celular
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/51979
http://44jaiio.sadio.org.ar/sites/default/files/agranda43-49.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-51979
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
big data
event antenna
Teléfono Celular
spellingShingle Ciencias Informáticas
big data
event antenna
Teléfono Celular
Sarraute, Carlos
Brea, Jorge
Burroni, Javier
Wehmuth, Klaus
Ziviani, Arthur
Alvarez Hamelin, José I.
Social Events in a Time-Varying Mobile Phone Graph
topic_facet Ciencias Informáticas
big data
event antenna
Teléfono Celular
description The large-scale study of human mobility has been significantly enhanced over the last decade by the massive use of mobile phones in urban populations. Studying the activity of mobile phones allows us, not only to infer social networks between individuals, but also to observe the movements of these individuals in space and time. In this work, we investigate how these two related sources of information can be integrated within the context of detecting and analyzing large social events. We show that large social events can be characterized not only by an anomalous increase in activity of the antennas in the neighborhood of the event, but also by an increase in social relationships of the attendants present in the event. Moreover, having detected a large social event via increased antenna activity, we can use the network connections to infer whether an unobserved user was present at the event. More precisely, we address the following three challenges: (i) automatically detecting large social events via increased antenna activity; (ii) characterizing the social cohesion of the detected event; and (iii) analyzing the feasibility of inferring whether unobserved users were in the event.
format Objeto de conferencia
Objeto de conferencia
author Sarraute, Carlos
Brea, Jorge
Burroni, Javier
Wehmuth, Klaus
Ziviani, Arthur
Alvarez Hamelin, José I.
author_facet Sarraute, Carlos
Brea, Jorge
Burroni, Javier
Wehmuth, Klaus
Ziviani, Arthur
Alvarez Hamelin, José I.
author_sort Sarraute, Carlos
title Social Events in a Time-Varying Mobile Phone Graph
title_short Social Events in a Time-Varying Mobile Phone Graph
title_full Social Events in a Time-Varying Mobile Phone Graph
title_fullStr Social Events in a Time-Varying Mobile Phone Graph
title_full_unstemmed Social Events in a Time-Varying Mobile Phone Graph
title_sort social events in a time-varying mobile phone graph
publishDate 2015
url http://sedici.unlp.edu.ar/handle/10915/51979
http://44jaiio.sadio.org.ar/sites/default/files/agranda43-49.pdf
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AT burronijavier socialeventsinatimevaryingmobilephonegraph
AT wehmuthklaus socialeventsinatimevaryingmobilephonegraph
AT zivianiarthur socialeventsinatimevaryingmobilephonegraph
AT alvarezhamelinjosei socialeventsinatimevaryingmobilephonegraph
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