Mobile devices are carried by people, which are characterized by their need to socialize. The social character of mobile networks may have an influence in modeling the mobility of their nodes and consequently in _the_ performance evaluation of the network. In this paper, we introduce social behaviors into existing mobility models so as to mimic real motion of users and evaluate their impact on network performance. An example illustrates the paper by introducing weighted social attraction points into the Manhattan mobility model