The diffusion of social networks introduces new challenges and opportunities for advanced services, especially so with their ongoing addition of location-based features. We show how applications like company and friend recommendation could significantly benefit from incorporating social and spatial proximity, and study a query type that captures these twofold semantics. We develop highly scalable algorithms for its processing, and use real social network data to empirically verify their efficiency and efficacy.
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