  In addition to seamless connectivity and smartness, the objects in the
Internet of Things (IoT) are expected to have the social capabilities -- these
objects are termed as ``social objects''. In this paper, an intuitive paradigm
of social interactions between these objects are argued and modeled. The impact
of social behavior on the interaction pattern of social objects is studied
taking Peer-to-Peer (P2P) resource sharing as an example application. The model
proposed in this paper studies the implications of competitive vs. cooperative
social paradigm, while peers attempt to attain the shared resources / services.
The simulation results divulge that the social capabilities of the peers impart
a significant increase in the quality of interactions between social objects.
Through an agent-based simulation study, it is proved that cooperative strategy
is more efficient than competitive strategy. Moreover, cooperation with an
underpinning on real-life networking structure and mobility does not negatively
impact the efficiency of the system at all; rather it helps.

Artificial Intelligence;Multiagent Systems;Social and Information Networks