Smart homes have gained attraction for several years in people's daily lives and are still increasing. They provide a fruitful foundation for the creation of social network services as they escort habits and regular activities of people at home, along their way or even at work. Smart homes and their current development stage are not only able to support people by intelligent functionality but also to predict the behavior or even the interaction with the social network of a person. For that, smart home technology makes strong use of big data techniques that help to master the vast amount of data generated continuously. In this paper we conduct a literature research that investigates the current state-of-the-art of smart homes and the related generation of social network services in a big data driven environment. We reveal future research opportunities that emerge from the combination of mastering big data in smart homes and, hence, provide design recommendations for social network services.