>>

Séminaire MIDI : Carlos Sarraute

Titre du séminaire et orateur

Using the Mobile Phone Social Network Topology to Infer Users Demographic Attributes.

Carlos Sarraute, Grandata Labs, Buenos Aires (Argentine).

Date et lieu

Jeudi 28 mai 2015, 14h.

Université de Cergy-Pontoise, site de St-Martin 1, bât. A, 5ème étage, salle 570.

Abstract

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 and gender). We examine assortativity patterns in the graph, and observe a strong age homophily in the communications preferences. We propose a graph based algorithm for the prediction of the age of mobile phone users. The algorithm exploits the topology of the mobile phone network, together with a subset of known users ages (seeds), to infer the age of remaining users.

We provide the details of the methodology, and show experimental results on a network GT with more than 70 million users. By carefully examining the topological relations of the seeds to the rest of the nodes in GT , we find topological metrics which have a direct influence on the performance of the algorithm. In particular we characterize subsets of users for which the algorithm performs best.

Bio

Carlos Sarraute is Director of Research at Grandata Labs, in Buenos Aires, Argentina (the company has also a branch in Palo Alto, California, USA). He received his M.Sc. degree in Mathematics from the University of Buenos Aires (UBA) in 2006 – in his thesis he applied neural networks to a classification problem arising from the field of Information Security (the classification of remote operating systems). He received his Ph.D. in Informatics Engineering from the Instituto Tecnológico de Buenos Aires (ITBA) in 2012.

Carlos Sarraute and Grandata are partners in the STIC-AmSud project PATRAM that ETIS team MIDI coordinates.

Retour