The uneven distribution of individual economic capacities is among the main forces, which shape modern societies and arguably bias the emerging behavioural patterns of people reflected by their social network and mobility patterns. However, the observation of socioeconomic networks is a major challenge as it requires the combination of behavioural and socioeconomic data at the individual level. In this talk first we will discuss a set of results aiming to infer the socioeconomic status of people and their effects in inducing segregation patterns in social and mobility networks. While these segregation patterns evolve gradually, yet they can change abruptly in response to external shocks. Building on mobile phone call and mobility datasets of the same population, we will demonstrate how COVID-19 lockdown interventions lead to the re-organization of socioeconomic network segregation patterns. We will find that not all socioeconomic groups could adapt equally to the emergency situation, suggesting socioeconomic status as an important determinant of people’s capacity to reflect to global emergencies.