the majority’s opinion is wrong, as shown by Asch [@Asch]. Under a strong social pressure a contrarian may agree with a large majority, an phenomenon that may be modelled using non-linear interactions.

The strategy of following an overwhelming majority may be ecological, since it is probable that this coherent behavior is due to some unknown piece of information, and in any case the competitive loss is minimal since it equally affects all other agents.

A binary opinion model where an agent tends to align with the largest neighboring cluster, similar to an Ising model with plaquette interactions, was studied in Ref. [@biswas2009]. In this model, a single dissenting agent immersed in a cluster of different opinions cannot overcome the social pressure, and therefore the model exhibits absorbing homogeneous phases. The possibility of dissenting, distributed as a quenched disorder, was introduced in Ref [@biswas2011a].

The third ingredient is the connectivity, i.e., how the neighborhood of a given agent is composed. Traditionally, magnetic systems have been studied either on regular lattices, trees or with random connections, whose behavior is similar to that of the mean-field approach. In recent years, much attention has been devoted to other network topologies, like the small-world [@WattsStrogatz] 