Socioeconomic characterization of regions through the lens of individual financial transactions
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. People are increasingly leaving digital traces of their daily ac...
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| Format: | Article |
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Public Library of Science
2018
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| Online Access: | http://hdl.handle.net/1721.1/113261 https://orcid.org/0000-0002-9287-3743 https://orcid.org/0000-0002-4664-3349 https://orcid.org/0000-0001-6281-0656 https://orcid.org/0000-0003-2026-5631 |
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| author | Hashemian, Behrooz Massaro, Emanuele Bojic, Iva Murillo Arias, Juan Sobolevsky, Stanislav Ratti, Carlo |
| author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
| author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Hashemian, Behrooz Massaro, Emanuele Bojic, Iva Murillo Arias, Juan Sobolevsky, Stanislav Ratti, Carlo |
| author_sort | Hashemian, Behrooz |
| collection | MIT |
| description | This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. People are increasingly leaving digital traces of their daily activities through interacting with their digital environment. Among these traces, financial transactions are of paramount interest since they provide a panoramic view of human life through the lens of purchases, from food and clothes to sport and travel. Although many analyses have been done to study the individual preferences based on credit card transaction, characterizing human behavior at larger scales remains largely unexplored. This is mainly due to the lack of models that can relate individual transactions to macro-socioeconomic indicators. Building these models, not only can we obtain a nearly real-time information about socioeconomic characteristics of regions, usually available yearly or quarterly through official statistics, but also it can reveal hidden social and economic structures that cannot be captured by official indicators. In this paper, we aim to elucidate how macro-socioeconomic patterns could be understood based on individual financial decisions. To this end, we reveal the underlying interconnection of the network of spending leveraging anonymized individual credit/debit card transactions data, craft micro-socioeconomic indices that consists of various social and economic aspects of human life, and propose a machine learning framework to predict macro-socioeconomic indicators. |
| first_indexed | 2024-09-23T13:06:18Z |
| format | Article |
| id | mit-1721.1/113261 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:06:18Z |
| publishDate | 2018 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/1132612022-10-01T13:04:24Z Socioeconomic characterization of regions through the lens of individual financial transactions Hashemian, Behrooz Massaro, Emanuele Bojic, Iva Murillo Arias, Juan Sobolevsky, Stanislav Ratti, Carlo Massachusetts Institute of Technology. Department of Urban Studies and Planning Hashemian, Behrooz Massaro, Emanuele Bojic, Iva Sobolevsky, Stanislav Ratti, Carlo This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. People are increasingly leaving digital traces of their daily activities through interacting with their digital environment. Among these traces, financial transactions are of paramount interest since they provide a panoramic view of human life through the lens of purchases, from food and clothes to sport and travel. Although many analyses have been done to study the individual preferences based on credit card transaction, characterizing human behavior at larger scales remains largely unexplored. This is mainly due to the lack of models that can relate individual transactions to macro-socioeconomic indicators. Building these models, not only can we obtain a nearly real-time information about socioeconomic characteristics of regions, usually available yearly or quarterly through official statistics, but also it can reveal hidden social and economic structures that cannot be captured by official indicators. In this paper, we aim to elucidate how macro-socioeconomic patterns could be understood based on individual financial decisions. To this end, we reveal the underlying interconnection of the network of spending leveraging anonymized individual credit/debit card transactions data, craft micro-socioeconomic indices that consists of various social and economic aspects of human life, and propose a machine learning framework to predict macro-socioeconomic indicators. 2018-01-22T16:49:44Z 2018-01-22T16:49:44Z 2017-11 2017-05 2018-01-19T18:35:36Z Article http://purl.org/eprint/type/JournalArticle 1932-6203 http://hdl.handle.net/1721.1/113261 Hashemian, Behrooz et al. “Socioeconomic Characterization of Regions through the Lens of Individual Financial Transactions.” Edited by Renaud Lambiotte. PLOS ONE 12, 11 (November 2017): e0187031 © 2017 Hashemian et al https://orcid.org/0000-0002-9287-3743 https://orcid.org/0000-0002-4664-3349 https://orcid.org/0000-0001-6281-0656 https://orcid.org/0000-0003-2026-5631 http://dx.doi.org/10.1371/journal.pone.0187031 PLOS ONE Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0 application/pdf Public Library of Science PLoS |
| spellingShingle | Hashemian, Behrooz Massaro, Emanuele Bojic, Iva Murillo Arias, Juan Sobolevsky, Stanislav Ratti, Carlo Socioeconomic characterization of regions through the lens of individual financial transactions |
| title | Socioeconomic characterization of regions through the lens of individual financial transactions |
| title_full | Socioeconomic characterization of regions through the lens of individual financial transactions |
| title_fullStr | Socioeconomic characterization of regions through the lens of individual financial transactions |
| title_full_unstemmed | Socioeconomic characterization of regions through the lens of individual financial transactions |
| title_short | Socioeconomic characterization of regions through the lens of individual financial transactions |
| title_sort | socioeconomic characterization of regions through the lens of individual financial transactions |
| url | http://hdl.handle.net/1721.1/113261 https://orcid.org/0000-0002-9287-3743 https://orcid.org/0000-0002-4664-3349 https://orcid.org/0000-0001-6281-0656 https://orcid.org/0000-0003-2026-5631 |
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