Abstract
•We study the consensus formation and convergence speed in the SNDG model.•We show the rule to determine agents' weights to form a consensus.•We show the rule to determine the convergence speed when reaching a consensus.
In this paper, we investigate how the agent's self-confidence level and the node degree influence the consensus opinion formation and the consensus convergence speed in the social network DeGroot model. We find that (1) the higher self-confidence will increase the agent's importance degree to determine the consensus opinion, but will also slow down the convergence speed for all agents to be able to obtain consensus, and (2) it is conducive to accelerating the convergence speed to be able to reach a consensus where all agents can manage to balance self-confidence levels and node degrees in the social network.