  In a large social network whose members harbor binary sentiments towards an
issue, we investigate the asymptotic accuracy of sentiment detection. We model
the user sentiments by an Ising Markov random field model and allow the user
sentiments to be biased by an external influence. We consider a general
supermajority sentiment detection problem and show that the detection accuracy
is affected by the network structure, its parameters, as well as the external
influence level.
