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

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.

References in corpus (1)

• Human Mobility and Predictability enriched by Social Phenomena Information

Cited by in corpus (5)

• Predicting customer's gender and age depending on mobile phone data
• A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry
• A Bayesian Approach to Income Inference in a Communication Network
• Inference of Demographic Attributes based on Mobile Phone Usage Patterns and Social Network Topology
• Link-centric analysis of variation by demographics in mobile phone communication patterns