  The dynamics of competing opinions in social network play an important role
in society, with many applications in diverse social contexts as consensus,
elections, morality and so on. Here we study a model of interacting agents
connected in networks to analyze their decision stochastic process. We consider
a first-neighbor interaction between agents in a one-dimensional network with a
shape of ring topology. Moreover, some agents are also connected to a hub, or
master node, that has preferential choice or bias. Such connections are
quenched. As the main results, we observed a continuous non-equilibrium phase
transition to an absorbing state as a function of control parameters. By using
the finite size scaling method, we analyzed the static and dynamic critical
exponents to show that this model probably cannot match any universality class
already known.
