# A Bayesian Approach to Income Inference in a Communication Network

arXiv: https://arxiv.org/abs/1811.04246 · HTML: https://mlsanity.com/paper/1811.04246/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Nov 2018.

## Built on by (most cited first, 1 of 1)

- [FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints](https://mlsanity.com/paper/2609.27654/) (2026)

## Abstract (arXiv)

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, the road has been opened to use mobile phone communications to generate inferences and characterizations of mobile phone users. In this work, we use the communication network, enriched by a set of users' attributes, to gain a better understanding of the demographic features of a population. Namely, we use call detail records and banking information to infer the income of each person in the graph.