Abstract
The heterogeneous nature of human behaviors contributes to the complexity of human-activated systems. Empirical observations and theoretical models reveal the temporal and spatial heterogeneity of many aspects of human behaviors, including social connections and geographic movements, while little is known whether and how human individual's behavioral diversities are correlated across different aspects. With statistical analysis on large-scale data of aligned online and offline human behaviors, we show that behavior spaces are coupled, independent from the specific choice of measurements. The coupling further expands to individual's direct and indirect social contacts. This finding provides insight into understanding homophily in different social systems and further improving the predictability of human online and offline behaviors.