Hybrid opinion dynamics which involves two types of individuals (i.e., leaders and followers) communicate in real time and share opinions and knowledge have been widely used in diverse applications. In real applications of hybrid opinion dynamics, one of the main demands is how to manage a consensus among individuals. This paper aims at proposing a novel consensus reaching strategy for the hybrid opinion dynamics in a social network. Firstly, we give the network partition algorithm to divide the social network into sub-network, and introduce Floyd algorithm to calculate the shortest path between any two individuals, which can provide the assistance for determining the weights among individuals. On this basis, we present the hybrid opinion dynamics model. Next, we develop the consensus reaching model with minimum adjustments (i.e. CRMD model) in hybrid opinion dynamics, and discuss some the properties of the CRMD model. Furthermore, the detailed numerical and simulation analysis are conducted to illustrate the effectiveness of this CRMD model. The simulation results show the CRMD model has the distinct advantages over other consensus strategies. Thus, the CRMD model is helpful to manage and control the public opinions for the government and enterprise.

涉及两种类型的个人（即领导者和追随者）的实时混合意见动态交流，共享意见和知识已广泛用于各种应用程序中。在混合意见动态的实际应用中，主要需求之一是如何管理个人之间的共识。本文旨在为社交网络中的混合意见动态提出一种新颖的共识达成策略。首先，我们给出了网络划分算法，将社交网络划分为子网，并引入了弗洛伊德算法来计算任意两个个体之间的最短路径，这可以为确定个体之间的权重提供帮助。在此基础上，我们提出了混合意见动力学模型。接下来，我们以最小的调整来开发达成共识的模型（即 CRMD模型）中的混合意见动力学，并讨论了CRMD模型的一些属性。此外，进行了详细的数值和仿真分析，以说明此CRMD模型的有效性。仿真结果表明，CRMD模型具有优于其他共识策略的明显优势。因此，CRMD模型有助于管理和控制政府和企业的公众舆论。