基于优先选择和记忆效应的观点动力学研究

Research on Opinion Dynamics Based on Priority Selection and Memory Effect

针对社会群体中观点共享的现象,考虑节点间交互存在偏好选择(优先选择),以及节点对异己观点存在记忆效应,扩展Deffuant模型,建立一种新的观点动力学模型。采用优先选择策略,使非均匀网络达成一致观点;在网络只选用优先选择策略而不考虑节点记忆效应时,网络一致性观点的形成仍依赖于置信值的取值。在网络考虑节点记忆效应后,不仅能够促进网络达成一致观点,而且在置信值很小的情况下,网络也能达成一致观点。研究结果表明,随着置信值的增加,网络达成一致观点所需的最小观点更新次数逐渐减少。

Opinions sharing or reaching consensus is a common social phenomenon. In consideration of the facts that nodes prefer to select certain nodes to communicate and they have memory for viewpoints which are different from their own,this paper tries to establish a novel opinion dynamics model by extending the Deffuant model. Priority selection strategy and the memory effect of node are adopted in the model. And it studies the influences of these two factors on network opinion formation. Experimental results show that the proposed model adopting priority selection strategy helps consensus formation in non-uniform network. But when the network adopts the priority selection strategy without considering memory effect,the formation of consensus still depends on threshold. And the joining of the memory effect not only can promote formation of network consensus, but also can make the network reach consensus at a small threshold. Research results show that with the increasing of the threshold,the smallest opinion updating time threshold to reach consensus decreases.