Correlations and dynamics of consumption patterns in social-economic networks

Yannick Léo 1 Márton Karsai 1 Carlos Sarraute 2 Éric Fleury 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 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 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. Finally, by analysing individual consumption histories, we detect dynamical patterns in purchase behaviour and their correlations with the socioeconomic status, demographic characters and the egocentric social network of individuals. Our work provides novel and detailed insight into the relations between social and consuming behaviour with potential applications in resource allocation, marketing, and recommendation system design.
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Article dans une revue
Social Network Analysis and Mining, Springer, 2018, 8, pp.1-16. 〈10.1007/s13278-018-0486-1〉
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https://hal.inria.fr/hal-01697280
Contributeur : Eric Fleury <>
Soumis le : mercredi 31 janvier 2018 - 10:08:29
Dernière modification le : jeudi 7 février 2019 - 16:56:48

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Yannick Léo, Márton Karsai, Carlos Sarraute, Éric Fleury. Correlations and dynamics of consumption patterns in social-economic networks. Social Network Analysis and Mining, Springer, 2018, 8, pp.1-16. 〈10.1007/s13278-018-0486-1〉. 〈hal-01697280〉

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