مورد إلكتروني
Sequences of purchases in credit card data reveal lifestyles in urban populations.
العنوان: | Sequences of purchases in credit card data reveal lifestyles in urban populations. |
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المؤلفون: | Di Clemente, Riccardo |
المصدر: | Nature Communications; vol 9, iss 1 |
بيانات النشر: | eScholarship, University of California 2018-08-20 |
تفاصيل مُضافة: | Di Clemente, Riccardo Luengo-Oroz, Miguel Travizano, Matias Xu, Sharon Vaitla, Bapu González, Marta |
نوع الوثيقة: | Electronic Resource |
مستخلص: | Zipf-like distributions characterize a wide set of phenomena in physics, biology, economics, and social sciences. In human activities, Zipfs law describes, for example, the frequency of appearance of words in a text or the purchase types in shopping patterns. In the latter, the uneven distribution of transaction types is bound with the temporal sequences of purchases of individual choices. In this work, we define a framework using a text compression technique on the sequences of credit card purchases to detect ubiquitous patterns of collective behavior. Clustering the consumers by their similarity in purchase sequences, we detect five consumer groups. Remarkably, post checking, individuals in each group are also similar in their age, total expenditure, gender, and the diversity of their social and mobility networks extracted from their mobile phone records. By properly deconstructing transaction data with Zipf-like distributions, this method uncovers sets of significant sequences that reveal insights on collective human behavior. |
مصطلحات الفهرس: | Cell Phone, Consumer Behavior, Humans, Life Style, Semantics, Urban Population, article |
URL: | |
الإتاحة: | Open access content. Open access content public |
ملاحظة: | application/pdf Nature Communications vol 9, iss 1 |
أرقام أخرى: | CDLER oai:escholarship.org:ark:/13030/qt64w8p31h qt64w8p31h https://escholarship.org/uc/item/64w8p31hTest https://escholarship.orgTest/ 1401037677 |
المصدر المساهم: | UC MASS DIGITIZATION From OAIster®, provided by the OCLC Cooperative. |
رقم الانضمام: | edsoai.on1401037677 |
قاعدة البيانات: | OAIster |
الوصف غير متاح. |