Um padrão de agrupamento de cidades a partir da dinâmica social urbana extraída de dados provenientes de redes de sensores participativos

Abstract

The dynamics of cities have been studied over the years, with various applications such as urban planning, disease propagation studies, traffic forecasting systems, local recommendations and studies of human social behavior. However, with the technological evolution, especially the popularization of the use of smartphones and the massification of Internet access, a new opportunity is presented to carry out such a study, the use of social media data for the population study. In this context, this paper aims to present a new way to compare cities, using as similarity measure the pattern of social mobility of its inhabitants. As a way to validate the study, 1.601.323 Foursquare check-ins were used spread over 10 cities in a period of 33 days in order to - using the proposed metrics - present different patterns of grouping the cities.