In opportunistic network, data transmission relies mainly on node mobility. However, the moving patterns of nodes in diverse application scenarios are different. Thus, nodes moving patterns should be considered when designing data transmission strategy. Based on the analysis of node moving characteristics in opportunistic social networks, two parameters, called social rang and social frequency, are introduced and sociability-based Spray and Forward (SSF) scheme is proposed by applying them to the data dissemination and forwarding phase, respectively. Simulation results show that SSF can effectively improve data delivery ratio and reduce latency under the given model.