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Brief survey of Mobility Analyses based on Mobile Phone Datasets
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.
Comparison of Feature Extraction Methods and Predictors for Income Inference
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 attributes such as their income level.
A Bayesian Approach to Income Inference in a Communication Network
The explosion of mobile phone communications in the last years occurs at a moment where data processing power increases exponentially.
Uncovering the Spread of Chagas Disease in Argentina and Mexico
We analyze here mobility and calling patterns in order to identify potential risk zones for the disease, by using public health information and mobile phone records.
Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services
Our study reveals that (a) postpaid customers are more active in terms of service usage and (b) there are strong structural correlations in the mobile phone call network as connections between customers of the same subscription type are much more frequent than those between customers of different subscription types.
