Analysis of the Mechanism of Incentive Mayorship in Locations of Foursquare-Swarm
Abstract
This paper presents a study on the mechanism of incentive mayorship used in Foursquare-Swarm. Mayor is the user who performed the most check-ins in the last thirty days in a given location. Through automatic temporal monitoring, we study how alternations and disputes for mayorship occur at the locations. Data were collected from hundreds of locations in Curitiba (Brazil) and Chicago (United States). We identified, for example, that well known American food chains may have a more significant influence on the mayorship dispute in Curitiba. This study provides a better understanding of the mechanism of incentive mayorship, helping to determine where it is advantageous. This can assist in improving user engagement on social web systems.
Keywords:
Mechanism of incentive, Foursquare-Swarm, Analysis
References
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Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., and Zimmerman, J. (2011). I’m the mayor of my house: Examining why people use foursquare - a social-driven location sharing application. In Proc. of CHI ’11, pages 2409–2418, New York, NY, USA. ACM.
Mueller, W., Silva, T. H., Almeida, J. M., and Loureiro, A. A. (2017). Gender matters! analy- zing global cultural gender preferences for venues using social sensing. EPJ Data Science, 6(1):5.
Neves, Y. C. B., Sindeaux, M. P., Souza, W., Kozievitch, N. P., Loureiro, A. A., and Silva, T. H. (2016). Study of google popularity times series for commercial establishments of curitiba and chicago. In Proc. of Webmedia ’16, pages 303–310, New York, NY, USA. ACM.
Pontes, T., Vasconcelos, M., Almeida, J., Kumaraguru, P., and Almeida, V. (2012). We know where you live: Privacy characterization of foursquare behavior. In Proc. of UbiComp ’12 (Workshops), pages 898–905, Pittsburgh, Pennsylvania. ACM.
Quercia, D., Schifanella, R., and Aiello, L. M. (2014). The shortest path to happiness: Recom- mending beautiful, quiet, and happy routes in the city. In Proc. of HT ’14, pages 116–125, New York, NY, USA. ACM.
Santos, F. A., Silva, T. H., Braun, T., Loureiro, A. A. F., and Villas, L. A. (2017). Towards a sustainable people-centric sensing. In Proc. of ICC, pages 1–6.
Silva, T. H., Celes, C., andVincius Mota, J., Cunha, F., Ferreira, A., Ribeiro, A., de Melo, P., Almeida, J., and Loureiro, A. (2016). Users in the urban sensing process: challenges and research opportunities. Pervasive Computing: Next Generation Platforms for Intelligent Data Collection, Academic Press, pages 45–95.
Venerandi, A., Quattrone, G., Capra, L., Quercia, D., and Saez-Trumper, D. (2015). Measu- ring urban deprivation from user generated content. In Proc. of CSCW’15, pages 254–264, Vancouver, Canada. ACM.
Wang, L., Gunasti, K., Gopal, R., Shankar, R., and Pancras, J. (2017). The impact of gami- fication on word-of-mouth effectiveness: Evidence from foursquare. In Proc. of HICSS, Waikoloa Beach, EUA.
Published
2019-10-21
How to Cite
DE OLIVEIRA SOUZA , William; MOTA, Vinícius F. S.; SILVA , Thiago H..
Analysis of the Mechanism of Incentive Mayorship in Locations of Foursquare-Swarm. In: WORKSHOP ON ASPECTS OF HUMAN-COMPUTER INTERACTION FOR THE SOCIAL WEB (WAIHCWS), 10. , 2019, Vitória.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 11-20.
ISSN 2596-0296.
DOI: https://doi.org/10.5753/waihcws.2019.7672.
