  We study the dynamics of the naming game as an opinion formation model on
time-varying social networks. This agent-based model captures the essential
features of the agreement dynamics by means of a memory-based negotiation
process. Our study focuses on the impact of time-varying properties of the
social network of the agents on the naming game dynamics. In particular, we
perform a computational exploration of this model using simulations on top of
real networks. We investigate the outcomes of the dynamics on two different
types of time-varying data - (i) the networks vary on a day-to-day basis and
(ii) the networks vary within very short intervals of time (20 seconds). In the
first case, we find that networks with strong community structure hinder the
system from reaching global agreement; the evolution of the naming game in
these networks maintains clusters of coexisting opinions indefinitely leading
to metastability. In the second case, we investigate the evolution of the
naming game in perfect synchronization with the time evolution of the
underlying social network shedding new light on the traditional emergent
properties of the game that differ largely from what has been reported in the
existing literature.
