A proposal to obtain the degree of influence of events on communities based on geolocation criteria

• Marcos Aurélio de Paiva Souza Federal University of the State of Rio de Janeiro (UNIRIO)
• Sidney Cunha de Lucena Federal University of the State of Rio de Janeiro (UNIRIO) http://orcid.org/0000-0002-4742-1561
• Carlos Alberto Vieira Campos Federal University of the State of Rio de Janeiro (UNIRIO) http://orcid.org/0000-0002-9979-6541

DOI: https://doi.org/10.5753/courb.2020.12357

Abstract

Human society is divided into communities formed by individuals who share similarities in behavior, interests, housing, etc. Events such as advertising actions or traffic accidents, among others, occur daily in urban centers and affect these communities differently. This article proposes an approach to assess the influence of the location of these events on different communities, thus contributing to the planning of actions aimed at these communities. To this end, a case study was carried out using GEOLIFE, in which users were divided into communities based on the history of geolocation, for which the degree of influence of events occurred in eleven places of great circulation was calculated. The application of these results was demonstrated by maximizing the effectiveness of a vaccination campaign with a limited budget in the city of Beijing.

Keywords: Smart cities, Human mobility, data analytics and data mining

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