Early adopters of ride sharing services are typically employed men with higher income and have homogeneous social networks. In this study, Ingrid Kovacic, a visiting intern from Utrecht University examines the social network characteristics of over 300 early adopters of ride sharing services. She finds that homogeneity of close social networks is a significant predictor of adoption, although it has a small overall effect on probability.
See her full report here.