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20102020
most citedThe Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics

218 citations · 886 across the 47 of their papers we have counts for

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22 papers · 1 filter

cs.SI2020★ 218 cited

The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics

María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2

Credit scoring is without a doubt one of the oldest applications of analytics. In recent years, a multitude of sophisticated classification techniques have been developed to improv…

cs.SI2020★ 14 cited

Credit Scoring for Good: Enhancing Financial Inclusion with Smartphone-Based Microlending

María Óskarsdóttir, Cristián Bravo, Carlos Sarraute +2

Globally, two billion people and more than half of the poorest adults do not use formal financial services. Consequently, there is increased emphasis on developing financial techno…

cs.SI2020★ 108 cited

Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture

María Óskarsdóttir, Cristián Bravo, Wouter Verbeke +3

Social network analytics methods are being used in the telecommunication industry to predict customer churn with great success. In particular it has been shown that relational lear…

cs.SI2020★ 17 cited

A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry

Maria Óskarsdóttir, Cristián Bravo, Wouter Verbeke +3

Relational learning in networked data has been shown to be effective in a number of studies. Relational learners, composed of relational classifiers and collective inference method…

cs.SI2020

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…

cs.SI2020

Computing Accessibility Metrics for Argentina

Carolina Lang, Tobias Carreira, German Cesar Dima +2

We present a tool to calculate distances and travel times between a set of origins and a set of destinations, using different modes of transport in Argentina. The input data for th…

cs.SI2019★ 5 cited

Segregated interactions in urban and online space

Xiaowen Dong, Alfredo J. Morales, Eaman Jahani +6

Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution…

cs.SI2019★ 11 cited

Inference of Demographic Attributes based on Mobile Phone Usage Patterns and Social Network Topology

Carlos Sarraute, Jorge Brea, Javier Burroni +1

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…

cs.SI2018

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…

cs.SI2018★ 2 cited

Inference of Users Demographic Attributes based on Homophily in Communication Networks

Jorge Brea, Javier Burroni, Carlos Sarraute

Over the past decade, mobile phones have become prevalent in all parts of the world, across all demographic backgrounds. Mobile phones are used by men and women across a wide age r…

cs.SI2018★ 18 cited

Correlations and dynamics of consumption patterns in social-economic networks

Yannick Leo, Márton Karsai, Carlos Sarraute +1

We analyse a coupled dataset collecting the mobile phone communications and bank transactions history of a large number of individuals living in a Latin American country. After map…

cs.SI2017★ 2 cited

The City Pulse of Buenos Aires

Carlos Sarraute, Carolina Lang, Nicolas B. Ponieman +1

Cell phone technology generates massive amounts of data. Although this data has been gathered for billing and logging purposes, today it has a much higher value, because its volume…

cs.SI2017★ 9 cited

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…

cs.SI2017

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…

cs.SI2017

Social Events in a Time-Varying Mobile Phone Graph

Carlos Sarraute, Jorge Brea, Javier Burroni +3

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 mobi…

cs.SI2016★ 91 cited

Socioeconomic correlations and stratification in social-communication networks

Yannick Leo, Eric Fleury, J. Ignacio Alvarez-Hamelin +2

The uneven distribution of wealth and individual economic capacities are among the main forces which shape modern societies and arguably bias the emerging social structures. Howeve…

cs.SI2016

Correlations of consumption patterns in social-economic networks

Yannick Leo, Márton Karsai, Carlos Sarraute +1

We analyze a coupled anonymized dataset collecting the mobile phone communication and bank transactions history of a large number of individuals. After mapping the social structure…

cs.SI2015★ 8 cited

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…

cs.SI2015★ 37 cited

A Study of Age and Gender seen through Mobile Phone Usage Patterns in Mexico

Carlos Sarraute, Pablo Blanc, Javier Burroni

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 M…

cs.SI2013★ 4 cited

Evolution of Communities with Focus on Stability

Carlos Sarraute, Gervasio Calderon

Community detection is an important tool for analyzing the social graph of mobile phone users. The problem of finding communities in static graphs has been widely studied. However,…

cs.SI2013

Evolution of Communities with Focus on Stability (extended abstract)

Carlos Sarraute, Gervasio Calderon

The detection of communities is an important tool used to analyze the social graph of mobile phone users. Within each community, customers are susceptible of attracting new ones, r…

cs.SI2013

Human Mobility and Predictability enriched by Social Phenomena Information (extended abstract)

Nicolas Ponieman, Alejo Salles, Carlos Sarraute

The information collected by mobile phone operators can be considered as the most detailed information on human mobility across a large part of the population. The study of the dyn…