Vital nodes identification is an essential problem in network science. Various methods have been proposed to solve this problem. In particular, based on the gravity model, a series of improved gravity models are proposed to find vital nodes better in complex networks. However, they still have the room to be improved. In this paper, a novel and improved gravity model, which is named network efficiency gravity centrality model (NEG), integrates gravity model and network efficiency is proposed. Compared to other methods based on different gravity models, the proposed method considers the effect of the nodes on structure robustness of the network better. To solidate the superiority of the proposed method, experiments on varieties of real-world networks are carried out.
翻译:生命节点识别是网络科学中的一个基本问题。提出了解决这一问题的各种方法。特别是,根据重力模型,提出了一系列改进重力模型,以便在复杂的网络中更好地找到关键节点。然而,这些模型仍有有待改进的空间。在本文件中,提出了一个新的改进的重力模型,称为网络效率重力中心模型(NEG),整合重力模型和网络效率。与基于不同重力模型的其他方法相比,拟议方法考虑了节点对网络结构稳健性的影响。为了巩固拟议方法的优越性,进行了关于现实世界网络品种的实验。