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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). We examine assortativity patterns in the graph, and observe a…

Social and Information Networks · Computer Science 2015-11-24 Jorge Brea , Javier Burroni , Martin Minnoni , Carlos Sarraute

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. We first present an…

Social and Information Networks · Computer Science 2019-01-11 Carlos Sarraute , Jorge Brea , Javier Burroni , Pablo Blanc

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…

Social and Information Networks · Computer Science 2015-11-23 Carlos Sarraute , Pablo Blanc , Javier Burroni

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…

Computers and Society · Computer Science 2020-03-17 Martin Fixman , Ariel Berenstein , Jorge Brea , Martin Minnoni , Matias Travizano , Carlos Sarraute

This paper presents a computational procedure for extracting demography data, mining patterns of human preferences, and measuring the topology of a virtual network. The network was created from the personal and relationships data of an…

Social and Information Networks · Computer Science 2015-07-31 Jaderick P. Pabico

Comprehensive and quantitative investigations of social theories and phenomena increasingly benefit from the vast breadth of data describing human social relations, which is now available within the realm of computational social science.…

Physics and Society · Physics 2022-09-29 Ajaykumar Manivannan , W. Quin Yow , Roland Bouffanais , Alain Barrat

Unveiling individuals' preferences for connecting with similar others (choice homophily) beyond the structural factors determining the pool of opportunities, is a challenging task. Here, we introduce a robust methodology for quantifying and…

Physics and Society · Physics 2024-01-25 Sina Sajjadi , Samuel Martin-Gutierrez , Fariba Karimi

Homophily -- the tendency of individuals to interact with similar others -- shapes how networks form and function. Yet existing approaches typically collapse homophily to a single scale, either one parameter for the whole network or one per…

Physics and Society · Physics 2025-12-16 Abbas K. Rizi , Riccardo Michielan , Clara Stegehuis , Mikko Kivelä

Understanding the patterns of mobility of individuals is crucial for a number of reasons, from city planning to disaster management. There are two common ways of quantifying the amount of travel between locations: by direct observations…

Physics and Society · Physics 2014-08-25 Vasyl Palchykov , Marija Mitrović , Hang-Hyun Jo , Jari Saramäki , Raj Kumar Pan

Demographic inference plays a crucial role in understanding the representativeness and equity of social media-based research. However, existing methods typically rely on a single modality, such as text, image, or network, and are limited to…

Social and Information Networks · Computer Science 2025-12-04 Hao Yang , Angela Yao , Eric Chang , Hexiang Wang

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. We present here several…

Computers and Society · Computer Science 2020-02-27 Martin Fixman , Martin Minnoni , Carlos Sarraute

In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place.…

Machine Learning · Computer Science 2019-03-19 Ibrahim Mousa AlZuabi , Assef Jafar , Kadan Aljoumaa

We analyze a large-scale mobile phone call dataset containing information on the age, gender, and billing locality of users to get insight into social closeness in pairs of individuals of similar age. We show that in addition to using the…

Social and Information Networks · Computer Science 2019-08-08 Mikaela Irene D. Fudolig , Daniel Monsivais , Kunal Bhattacharya , Hang-Hyun Jo , Kimmo Kaski

Electronic communication records provide detailed information about temporal aspects of human interaction. Previous studies have shown that individuals' communication patterns have complex temporal structure, and that this structure has…

Physics and Society · Physics 2014-03-05 Lauri Kovanen , Kimmo Kaski , János Kertész , Jari Saramäki

In human relations individuals' gender and age play a key role in the structures and dynamics of their social arrangements. In order to analyze the gender preferences of individuals in interaction with others at different stages of their…

Physics and Society · Physics 2016-11-21 Asim Ghosh , Daniel Monsivais , Kunal Bhattacharya , Robin I. M. Dunbar , Kimmo Kaski

The wide use of social media sites and other digital technologies have resulted in an unprecedented availability of digital data that are being used to study human behavior across research domains. Although unsolicited opinions and…

Social and Information Networks · Computer Science 2018-06-01 Nina Cesare , Christan Grant , Quynh Nguyen , Hedwig Lee , Elaine O. Nsoesie

Motivated by the growing number of mobile devices capable of connecting and exchanging messages, we propose a methodology aiming to model and analyze node mobility in networks. We note that many existing solutions in the literature rely on…

Networking and Internet Architecture · Computer Science 2021-11-12 Matheus F. C. Barros , Carlos H. G. Ferreira , Bruno Pereira dos Santos , Lourenço A. P. Júnior , Marco Mellia , Jussara M. Almeida

Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult due to their non-representativeness and the bias of…

Computers and Society · Computer Science 2019-05-16 Zijian Wang , Scott A. Hale , David Adelani , Przemyslaw A. Grabowicz , Timo Hartmann , Fabian Flöck , David Jurgens

This article investigates the impact of user homophily on the social process of information diffusion in online social media. Over several decades, social scientists have been interested in the idea that similarity breeds connection:…

Computers and Society · Computer Science 2010-06-10 Munmun De Choudhury , Hari Sundaram , Ajita John , Doree Duncan Seligmann , Aisling Kelliher

Mobile phone metadata is increasingly used for humanitarian purposes in developing countries as traditional data is scarce. Basic demographic information is however often absent from mobile phone datasets, limiting the operational impact of…

Machine Learning · Computer Science 2017-11-16 Bjarke Felbo , Pål Sundsøy , Alex 'Sandy' Pentland , Sune Lehmann , Yves-Alexandre de Montjoye
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