Abstract: Advance technologies in mobile communication fields can be utilized in making vehicles to be behaving as intelligent objects. They interact with each other and may be collected in social groups creating Vehicular Social Networks (VSNs). Information sharing, on the other side is a main task that distinguishes these types of networks. However, high mobility is a significant constraint of such networks. Indeed there is no stable topology of the network. In this context, a good connectivity of the network will have impact factor to enhance communication of vehicles. Therefore, this study will analyze and model mobility and connectivity in VSNs using Complex Agent Network (CAN). This emerging term comes from combination of both Complex Network (CN) and Agent Based Model (ABM). While, the latter can model the behavior of vehicles at individual level, CN can totally give a comprehensive view to the entire network. The developed model in this study is to measure the effect and the impact of some parameters on the connectivity of the network. Results show that both communication range and density of vehicles have a significant effect on the network connectivity. On the other hand, Mobile Road Side Units (MRSUs) will be used to increase this connectivity of the network.