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Authors: Antonio Alfeo 1 ; Mario Cimino 1 ; Bruno Lepri 2 ; Alex Pentland 3 and Gigliola Vaglini 1

Affiliations: 1 Department of Information Engineering, University of Pisa, Largo Lazzarino 1, Pisa, Italy ; 2 Bruno Kessler Foundation, via S. Croce, 77, Trento, Italy ; 3 M.I.T. Media Laboratory, 75 Amherst Street, Cambridge 02142, U.S.A.

ISBN: 978-989-758-351-3

Keyword(s): Computational Stigmergy, Stigmergy, Spatio-temporal Patterns, Hotspot, Purchase Behavior.

Abstract: The analysis of credit card transactions allows gaining new insights into the spending occurrences and mobility behavior of large numbers of individuals at an unprecedented scale. However, unfolding such spatiotemporal patterns at a community level implies a non-trivial system modeling and parametrization, as well as, a proper representation of the temporal dynamic. In this work we address both those issues by means of a novel computational technique, i.e. computational stigmergy. By using computational stigmergy each sample position is associated with a digital pheromone deposit, which aggregates with other deposits according to their spatiotemporal proximity. By processing transactions data with computational stigmergy, it is possible to identify high-density areas (hotspots) occurring in different time and days, as well as, analyze their consistency over time. Indeed, a hotspot can be permanent, i.e. present throughout the period of observation, or intermittent, i.e. present only i n certain time and days due to community level occurrences (e.g. nightlife). Such difference is not only spatial (where the hotspot occurs) and temporal (when the hotspot occurs) but affects also which people visit the hotspot. The proposed approach is tested on a real-world dataset containing the credit card transaction of 60k users between 2014 and 2015. (More)

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Paper citation in several formats:
Alfeo, A.; Cimino, M.; Lepri, B.; Pentland, A. and Vaglini, G. (2019). Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 822-829. DOI: 10.5220/0007581308220829

@conference{icpram19,
author={Antonio L. Alfeo. and Mario G. C. A. Cimino. and Bruno Lepri. and Alex “Sandy” Pentland. and Gigliola Vaglini.},
title={Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={822-829},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007581308220829},
isbn={978-989-758-351-3},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy
SN - 978-989-758-351-3
AU - Alfeo, A.
AU - Cimino, M.
AU - Lepri, B.
AU - Pentland, A.
AU - Vaglini, G.
PY - 2019
SP - 822
EP - 829
DO - 10.5220/0007581308220829

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