Abstract | ||
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We analyze a coupled dataset collecting the mobile phone communication and bank transactions history of a large number of individuals living in Mexico. After mapping the social structure and introducing indicators of socioeconomic status, demographic features, and purchasing habits of individuals we show that typical consumption patterns are strongly correlated with identified socioeconomic classes leading to patterns of stratification in the social structure. In addition we measure correlations between merchant categories and introduce a correlation network, which emerges with a meaningful community structure. We detect multivariate relations between merchant categories and show correlations in purchasing habits of individuals. Our work provides novel and detailed insight into the relations between social and consuming behaviour with potential applications in recommendation system design.
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Year | DOI | Venue |
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2016 | 10.5555/3192424.3192516 | ASONAM '16: Advances in Social Networks Analysis and Mining 2016
Davis
California
August, 2016 |
Keywords | DocType | Volume |
consumption patterns,socialeconomic networks,coupled dataset analysis,mobile phone communication,bank transactions history,Mexico,social structure,socioeconomic status,demographic features,purchasing habits,merchant categories,correlation network,multivariate relations,consuming behaviour,recommendation system design | Conference | abs/1609.03756 |
ISSN | ISBN | Citations |
IEEE/ACM ASONAM p. 500-507, San Francisco CA, August 18-21 (2016) | 978-1-5090-2846-7 | 4 |
PageRank | References | Authors |
0.48 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yannick Leo | 1 | 4 | 0.48 |
Márton Karsai | 2 | 422 | 30.42 |
Carlos Sarraute | 3 | 106 | 22.64 |
Eric Fleury | 4 | 243 | 23.71 |