Correlations of consumption patterns in social-economic networks

Yannick Léo 1, 2 Márton Karsai 2, 1 Carlos Sarraute 3 Eric Fleury 2, 1
1 DANTE - Dynamic Networks : Temporal and Structural Capture Approach
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme, IXXI - Institut Rhône-Alpin des systèmes complexes
Abstract : 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.
Type de document :
Communication dans un congrès
Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference, Aug 2016, San Francisco, United States. pp.500-507, 2016, 〈10.1109/ASONAM.2016.7752280〉
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https://hal.inria.fr/hal-01403295
Contributeur : Márton Karsai <>
Soumis le : vendredi 25 novembre 2016 - 16:37:33
Dernière modification le : mercredi 10 mai 2017 - 09:58:15

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Yannick Léo, Márton Karsai, Carlos Sarraute, Eric Fleury. Correlations of consumption patterns in social-economic networks. Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference, Aug 2016, San Francisco, United States. pp.500-507, 2016, 〈10.1109/ASONAM.2016.7752280〉. 〈hal-01403295〉

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