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Social media allow for an unprecedented amount of interaction between peopleonline. A fundamental aspect of human social behavior, however, is the tendencyof people to associate themselves with like-minded individuals, forminghomogeneous social circles both online and offline. In this work, we apply anew model that allows us to distinguish between social ties of varyingstrength, and to observe evidence of homophily with regards to politics, music,health, residential sector & year in college, within the online and offlinesocial network of 74 college students. We present a multiplex network approachto social tie strength, here applied to mobile communication data - calls, textmessages, and co-location, allowing us to dimensionally identify relationshipsby considering the number of communication channels utilized between students.We find that strong social ties are characterized by maximal use ofcommunication channels, while weak ties by minimal use. We are able to identify75% of close friendships, 90% of weaker ties, and 90% of Facebook friendshipsas compared to reported ground truth. We then show that stronger ties exhibitgreater profile similarity than weaker ones. Apart from high homogeneity insocial circles with respect to political and health aspects, we observe stronghomophily driven by music, residential sector and year in college. DespiteFacebook friendship being highly dependent on residence and year, exposure toless homogeneous content can be found in the online rather than the offlinesocial circles of students, most notably in political and music aspects.

Keep Your Friends Close and Your Facebook Friends Closer: A Multiplex Network Approach to the Analysis of Offline and Online Social Ties