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What people buy is an important aspect or view of lifestyles. Studying people's shopping patterns in different urban regions can not only provide valuable information for various commercial opportunities, but also enable a better…

Social and Information Networks · Computer Science 2017-01-24 Tianran Hu , Ruihua Song , Yingzi Wang , Xing Xie , Jiebo Luo

The digital revolution has led to the digitization of human behavior, creating unprecedented opportunities to understand observable actions on an unmatched scale. Emerging phenomena such as crowdfunding and crowdsourcing have further…

Machine Learning · Computer Science 2023-06-27 Hannah H. Chang , Anirban Mukherjee

Human mobility is subject to collective dynamics that are the outcome of numerous individual choices. Smart card data which originated as a means of facilitating automated fare collections has emerged as an invaluable source for analyzing…

Physics and Society · Physics 2022-08-11 Oded Cats

Human mobility demonstrates a high degree of regularity, which facilitates the discovery of lifestyle profiles. Existing research has yet to fully utilize the regularities embedded in high-order features extracted from human mobility…

Machine Learning · Computer Science 2023-12-04 Yeshuo Shu , Gangcheng Zhang , Keyi Liu , Jintong Tang , Liyan Xu

Human mobility and other social activity patterns influence various aspects of society such as urban planning, traffic predictions, crisis resilience, and epidemic prevention. The behaviour of individuals, like their communication…

Social and Information Networks · Computer Science 2023-11-27 Fumiko Ogushi , Chandreyee Roy , Kimmo Kaski

Lifestyle has been used as a lens to characterize a society and its people within, which includes their social status, consumption habits, values, and cultural interests. Recently, the increasing availability of large-scale purchasing…

Physics and Society · Physics 2025-04-23 Minjin Lee , Hokyun Kim , Bogang Jun , Jaehyuk Park

Understanding human mobility is essential for many fields, including transportation planning. Currently, surveys are the primary source for such analysis. However, in the recent past, many researchers have focused on Call Detail Records…

Machine Learning · Computer Science 2021-08-23 Buddhi Ayesha , Bhagya Jeewanthi , Charith Chitraranjan , Amal Shehan Perera , Amal S. Kumarage

Consumer spending accounts for a large fraction of the US economic activity. Increasingly, consumer activity is moving to the web, where digital traces of shopping and purchases provide valuable data about consumer behavior. We analyze…

Social and Information Networks · Computer Science 2015-12-16 Farshad Kooti , Kristina Lerman , Luca Maria Aiello , Mihajlo Grbovic , Nemanja Djuric , Vladan Radosavljevic

Understanding the spatio-temporal dynamics of cities is in the heart of many applications including urban planning, zoning, and real-estate construction. So far, much of our understanding about urban dynamics came from traditional surveys…

Social and Information Networks · Computer Science 2018-07-18 Sofiane Abbar , Tahar Zanouda , Noora Al-Emadi , Rachida Zegour

Lifestyles are a valuable model for understanding individuals' physical and mental lives, comparing social groups, and making recommendations for improving people's lives. In this paper, we examine and compare lifestyle behaviors of people…

Social and Information Networks · Computer Science 2017-01-24 Tianran Hu , Eric Bigelow , Jiebo Luo , Henry Kautz

Human mobility has been traditionally studied using surveys that deliver snapshots of population displacement patterns. The growing accessibility to ICT information from portable digital media has recently opened the possibility of…

Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we use a relatively unexplored source of data, anonymized records of bank card transactions collected in Spain…

We analyze a coupled anonymized dataset collecting the mobile phone communication and bank transactions history of a large number of individuals. After mapping the social structure and introducing indicators of socioeconomic status,…

Social and Information Networks · Computer Science 2017-12-25 Yannick Leo , Márton Karsai , Carlos Sarraute , Eric Fleury

Studies of human mobility increasingly rely on digital sensing, the large-scale recording of human activity facilitated by digital technologies. Questions of variability and population representativity, however, in patterns seen from these…

Physics and Society · Physics 2018-09-06 Enwei Zhu , Maham Khan , Philipp Kats , Shreya Santosh Bamne , Stanislav Sobolevsky

Communication devices (mobile networks, social media platforms) are produced digital traces for their users either voluntarily or not. This type of collective data can give powerful indications on their effect on urban systems design and…

Social and Information Networks · Computer Science 2018-07-18 Suhad Faisal Behadili , Cyrille Bertelle , Loay E. George

The enormous amount of recently available mobile phone data is providing unprecedented direct measurements of human behavior. Early recognition and prediction of behavioral patterns are of great importance in many societal applications like…

Social and Information Networks · Computer Science 2015-10-13 Zolzaya Dashdorj , Stanislav Sobolevsky

We analyse a coupled dataset collecting the mobile phone communications and bank transactions history of a large number of individuals living in a Latin American country. After mapping the social structure and introducing indicators of…

Social and Information Networks · Computer Science 2018-01-29 Yannick Leo , Márton Karsai , Carlos Sarraute , Eric Fleury

Urbanization and its problems require an in-depth and comprehensive understanding of urban dynamics, especially the complex and diversified lifestyles in modern cities. Digitally acquired data can accurately capture complex human activity,…

Physics and Society · Physics 2022-09-27 Yanni Yang , Alex Pentland , Esteban Moro

This chapter examines the possibility to analyze and compare human activities in an urban environment based on the detection of mobile phone usage patterns. Thanks to an unprecedented collection of counter data recording the number of…

Physics and Society · Physics 2014-06-18 S. Grauwin , S. Sobolevsky , S. Moritz , I. Gódor , C. Ratti

Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution of residential neighborhoods rather than on patterns of…

Social and Information Networks · Computer Science 2020-04-21 Xiaowen Dong , Alfredo J. Morales , Eaman Jahani , Esteban Moro , Bruno Lepri , Burcin Bozkaya , Carlos Sarraute , Yaneer Bar-Yam , Alex Pentland
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