<p>In the group decision-making process in a social network, decision-makers interact within specific social relationships. Compared with the social relations, which is considered to have a significant influence on decision makers in previous studies, confidence, a personal trait, will also have a potential impact on both individual and collective interactions. Thus, this paper investigates the consensus model of social network group decision-making under the influence of confidence. First, given the widespread application of social platforms in facilitating group opinion interactions, this paper constructs an online social meta-network and integrates social network analysis with data mining techniques. By developing a confidence efficacy metric, it objectively quantifies the actual impact of decision-makers’ confidence on the decision-making process through the analysis of their online interactive behaviors. Second, the offline network structure efficacy is combined to construct a two-tier efficacy impact matrix for forming decision-makers’ weights. Then, Considering the positive role of confidence in opinion coordination, an opinion-sharing network is constructed based on “sharing willingness” (confidence efficacy) and “sharing channels” (network structure). This network identifies effective dissemination paths and utilizes opinion-sharing chains for precise feedback, thereby enhancing the efficiency and quality of consensus attainment. Finally, the proposed consensus reaching mechanism is applied to a community resident group decision-making case to verify the rationality and effectiveness of the proposed method. The case application results show that the decision-making model considering the influence of confidence significantly improves the efficiency and consensus quality of group decision-making, verifying the key role of the feedback mechanism driven by the opinion sharing chain in promoting information circulation and accelerating consensus formation.</p>