Publications (6)
Epidemics on a stochastic model of temporal network
Luis Enrique Correa Rocha, Adeline Decuyper, Vincent D Blondel
Contacts between individuals serve as pathways where infections may propagate. These contact patterns can be represented by network structures. Static structures have been the comm…
Measuring the effect of node aggregation on community detection
Yérali Gandica, Adeline Decuyper, Christophe Cloquet +2
Many times the nodes of a complex network, whether deliberately or not, are aggregated for technical, ethical, legal limitations or privacy reasons. A common example is the geograp…
Estimating Food Consumption and Poverty Indices with Mobile Phone Data
Adeline Decuyper, Alex Rutherford, Amit Wadhwa +5
Recent studies have shown the value of mobile phone data to tackle problems related to economic development and humanitarian action. In this research, we assess the suitability of…
Clean up or mess up: the effect of sampling biases on measurements of degree distributions in mobile phone datasets
Adeline Decuyper, Arnaud Browet, Vincent Traag +2
Mobile phone data have been extensively used in the recent years to study social behavior. However, most of these studies are based on only partial data whose coverage is limited b…
On the use of human mobility proxy for the modeling of epidemics
Michele Tizzoni, Paolo Bajardi, Adeline Decuyper +6
Human mobility is a key component of large-scale spatial-transmission models of infectious diseases. Correctly modeling and quantifying human mobility is critical for improving epi…
A survey of results on mobile phone datasets analysis
Vincent D. Blondel, Adeline Decuyper, Gautier Krings
In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of larg…