Análise de dados de redes Wi-Fi por meio de redes de correlação

Abstract

The growing use of Wi-Fi networks has generated a large volume of data that allow studies to analyze human behavior. One of the ways to study these data is through a complex network created from correlation coefficients. Data from the UFRPE Wi-Fi network were collected during 6 days, the creation of time series allowed the analysis of the occupation graphs of the headquarters buildings, thus enabling the creation of complex networks based on correlation coefficients. The occupancy graphs showed the times and buildings with the highest occupancy for each day, while the complex network metrics showed a strong correlation of buildings with different degree values.