  Opinion formation in complex social networks may exhibit complex system
dynamics even when based on some simplest system evolution models. An
interesting and important issue is the effects of the initial state on the
final steady-state opinion distribution. We show that, while different initial
opinion distributions certainly make differences to opinion evolution in social
systems without noises, in systems with noises, given enough time, different
initial states basically do not contribute to making any significant
differences in the final steady state. Instead, it is the basal distribution of
the preferred opinions that contributes to deciding the final state of the
systems. Such an observation contradicts with a long-term belief on the roles
of system initial state in opinion formation. We propose some brief discussions
on the reasons supporting our statement, and the implications of such an
observation in real-life applications.
