MSN (mobile social network) realizes message delivery by leveraging social relationships of mobile users via cooperation forwarding of nodes. However, with the coming of the big data era, MSN should satisfy the daily increasing content (e.g., video) requests of the mobile users. Considering that ICN (information-centric networking) supports mobility natively, in this study, a community aware routing scheme in MSN is proposed, which is based on ICN architecture. In interest decision, the proposed interest distance metrics among users are calculated based on the interest preferences of users, which are obtained from the content name of the requests of nodes. Then, nodes are detected into interest communities based on the interest distances, and interest packets are routed based on these detected interest communities. In data decision, the proposed encounter regularity metrics are calculated according to the history encounter information of nodes. Then, based on the encounter regularities, nodes are detected into social communities, and data packets are routed based on these detected social communities. Meanwhile, the proposed routing scheme optimizes content caching of nodes based on the detected interest communities and social communities, in order to satisfy the future content requests rapidly. By comparing with the existed schemes on packet delivery, average hops, average delay and network overhead, simulation experiments show that the proposed scheme is feasible and effective.