16 citations · 52 across the 11 of their papers we have counts for
11 papers
Detecting Areas of Potential High Prevalence of Chagas in Argentina
Antonio Vazquez Brust, Tomas Olego, German Rosati +6
A map of potential prevalence of Chagas disease (ChD) with high spatial disaggregation is presented. It aims to detect areas outside the Gran Chaco ecoregion (hyperendemic for the…
The wisdom of the few: Predicting collective success from individual behavior
Manuel S. Mariani, Yanina Gimenez, Jorge Brea +3
Can we predict top-performing products, services, or businesses by only monitoring the behavior of a small set of individuals? Although most previous studies focused on the predict…
Secure Exchange of Digital Goods in a Decentralized Data Marketplace
Ariel Futoransky, Carlos Sarraute, Ariel Waissbein +3
We are tackling the problem of trading real-world private information using only cryptographic protocols and a public blockchain to guarantee honest transactions. In this project,…
Wibson: A Decentralized Data Marketplace
Matias Travizano, Carlos Sarraute, Gustavo Ajzenman +1
Our aim is for Wibson to be a blockchain-based, decentralized data marketplace that provides individuals a way to securely and anonymously sell information in a trusted environment…
Brief survey of Mobility Analyses based on Mobile Phone Datasets
Carlos Sarraute, Martin Minnoni
This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility. A driving theme in…
Comparison of Feature Extraction Methods and Predictors for Income Inference
Martin Fixman, Martin Minnoni, Carlos Sarraute
Patterns of mobile phone communications, coupled with the information of the social network graph and financial behavior, allow us to make inferences of users' socio-economic attri…
A Bayesian Approach to Income Inference in a Communication Network
Martin Fixman, Ariel Berenstein, Jorge Brea +3
The explosion of mobile phone communications in the last years occurs at a moment where data processing power increases exponentially. Thanks to those two changes in a global scale…
Uncovering the Spread of Chagas Disease in Argentina and Mexico
Juan de Monasterio, Alejo Salles, Carolina Lang +4
Chagas disease is a neglected disease, and information about its geographical spread is very scarse. We analyze here mobility and calling patterns in order to identify potential ri…
Analyzing the Spread of Chagas Disease with Mobile Phone Data
Juan de Monasterio, Alejo Salles, Carolina Lang +4
We use mobile phone records for the analysis of mobility patterns and the detection of possible risk zones of Chagas disease in two Latin American countries. We show that geolocali…
Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services
Yongjun Liao, Wei Du, Márton Karsai +3
In this paper we investigate the behavioural differences between mobile phone customers with prepaid and postpaid subscriptions. Our study reveals that (a) postpaid customers are m…
Harnessing Mobile Phone Social Network Topology to Infer Users Demographic Attributes
Jorge Brea, Javier Burroni, Martin Minnoni +1
We study the structure of the social graph of mobile phone users in the country of Mexico, with a focus on demographic attributes of the users (more specifically the users' age). W…