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The popularization of GPS-enabled mobile devices provides social network researchers a taste of cyber-physical social network in advance. Traditional link prediction methods are designed to find friends solely relying on social network information. With location and trajectory data available, we can generate more accurate and geographically related results, and help web-based social service users find more friends in the real world. Aiming to recommend geographically related friends in socialdoi:10.1109/asonam.2011.118 dblp:conf/asunam/YuPTLH11 fatcat:3uebaemtergp5bxup4quvlys3a