Twitter user profiles contain rich information that allows researchers to infer particular attributes of users' identities. Knowing identity attributes such as gender, age, and/or nationality are a first step in many studies which seek to describe various phenomena related to computational social science. Often, it is through such attributes that studies of social media that focus on, for example, the isolation of foreigners, become possible. However, such characteristics are not often clearly stated by Twitter users, so researchers must turn to other means to ascertain various categories of identity. In this paper, we discuss the challenge of detecting the nationality of Twitter users using rich features from their profiles. In addition, we look at the effectiveness of different features as we go about this task. For the case of a highly diverse country---Qatar---we provide a detailed network analysis with insights into user behaviors and linking preference (or the lack thereof) to other nationalities.