The effect of social, economic and geographic variables on the predictability of human mobility.
Complex networks, social networks, urban mobility, CDR.
Population growth in urban areas brings great challenges for the management and control of resources and urban space, so it is essential to understand how human behavior influences the organization of cities. The analysis of complex networks enables this understanding, as they offer tools with modeling and analysis capabilities, providing understanding of the real world. It is expected in this work to present the analysis of urban complexity, reflected through social, economic and geographic relations through the investigation of telephone call records stored in a CDR (Call Detail Records). With this, in order to understand how economic aspects influence both mobility and interaction between individuals, data from the 2010 Brazilian Demographic Census were used, where the census sectors of the regions studied are classified according to their average income. Based on this, the impact of geographic location and income of individuals on their trajectories in urban space will be analyzed, as well as how these factors influence interactions between individuals. Considering two cities with different characteristics, analyzes will be carried out based on the characterization of people's individual, economic and geographic mobility. With this, the results of this work have the objective of proving the interdependence of the aspects analyzed in the mobility behavior of the individual in the urban space and also to serve as a subsidy for actions of public agents that make decisions, as well as to contribute to the work of researchers from the most diverse areas.