Convergence to global consensus in opinion dynamics under a nonlinear voter model

► A nonlinear voter model with respect to degree of herd effect is proposed to study consensus dynamics on complex networks. ► It is found that suitable degree of herd effect can result in optimal convergence velocity toward the global consensus. ► The formation of opinion clusters affected by herd effect plays the key role in the acceleration of achieving global consensus.