Figure 1From: Socioeconomic biases in urban mixing patterns of US metropolitan areasMobility and socioeconomic data combination pipeline. (left) Overview of data sources, data processing pipelines and data combination steps to obtain data for the analysis of socioeconomic segregation in spatiotemporal urban mobility. (right) As a result we obtain a bipartite network, with nodes classified into two sets comprising individuals u and POIs p. Each node in both types is labelled by a socioeconomic indicator (\(c_{U}\) and \(c_{P}\)) assigned via our location-based method on the census tract level. Weighted edges between individuals and POIs indicate the frequency of visits of a given user to a given placeBack to article page