The decision making environment has been dramatically affected by rapid developments in society and the economy. Large-scale group decision making (LSGDM) based on social network has become a vital research topic in the field of decision making science. In this paper, we propose a novel framework based on social network to manage the consensus reaching process (CRP) for LSGDM faced with incomplete information. In this framework, the large-scale group is first classified into several smaller sub-groups using a sub-group detection algorithm, based on the social network. Then, we propose an estimating method based on a collaborative filtering algorithm for estimating the missing preference information of the opinion leaders in each sub-group. The two-stage dynamic influence model for handling the consensus reaching process in LSGDM begins when the LSGDM is transformed into several smaller sub-group decision processes. In the first stage, a consensus model, based on opinion evolution, is proposed for the CRP within each sub-group. In the second stage, we consider each sub-group as a decision making unit. By focusing on the consensus problem across the sub-groups, we develop a novel opinion-leaders feedback strategy in order to help the sub-groups revise their opinions, working toward consensus. We provide an example of an application of our process to illustrate the validity of the proposed model for managing the CRP in LSGDM.

社会和经济的快速发展极大地影响了决策环境。基于社交网络的大规模群体决策（LSGDM）已成为决策科学领域中至关重要的研究课题。在本文中，我们提出了一个基于社交网络的新颖框架，用于管理面对信息不完整的LSGDM的共识达成过程（CRP）。在此框架中，首先基于社交网络，使用子组检测算法将大型组分为几个较小的子组。然后，我们提出了一种基于协同过滤算法的估计方法，用于估计每个子组中意见领袖的缺失偏好信息。当LSGDM转换为几个较小的子组决策过程时，便开始了用于处理LSGDM中达成共识的过程的两阶段动态影响模型。在第一阶段，针对每个子组中的CRP，提出了一种基于观点演变的共识模型。在第二阶段，我们将每个小组视为决策单位。通过关注各小组之间的共识问题，我们开发了一种新颖的意见领袖反馈策略，以帮助各小组修改其观点，努力达成共识。我们提供了一个应用程序示例，以说明所提出的模型在LSGDM中管理CRP的有效性。建议为每个子组中的CRP。在第二阶段，我们将每个小组视为决策单位。通过关注各小组之间的共识问题，我们开发了一种新颖的意见领袖反馈策略，以帮助各小组修改其意见，努力达成共识。我们提供了一个应用程序示例，以说明所提出的模型在LSGDM中管理CRP的有效性。建议为每个子组中的CRP。在第二阶段，我们将每个小组视为决策单位。通过关注各小组之间的共识问题，我们开发了一种新颖的意见领袖反馈策略，以帮助各小组修改其观点，努力达成共识。我们提供了一个应用程序示例，以说明所提出的模型在LSGDM中管理CRP的有效性。