A Bayesian Approach to Income Inference in a Communication Network

Autor:	Fixman, Martin, Berenstein, Ariel, Brea, Jorge, Minnoni, Martin, Travizano, Matias, Sarraute, Carlos
Rok vydání:	2018
Předmět:	Computer Science - Computers and Society Computer Science - Machine Learning Computer Science - Social and Information Networks Physics - Physics and Society
Druh dokumentu:	Working Paper
DOI:	10.1109/ASONAM.2016.7752294
Popis:	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. Comment: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016). August 18, 2016
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1811.04246 Zobrazit plný text záznamu View this record from Arxiv