多领导导向共识网络中的集群

Jeong-Min Ma, Hyung-Gohn Lee, H. Ahn, K. Moore
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引用次数: 1

摘要

在有向图中,先导是没有成度边的节点。如果在一个定向共识网络中有多个领导者,系统将无法达成共识。在这样的系统中,节点将组织成收敛于相同值的集群或节点组。这些聚类不依赖于初始条件或边权。本文研究了多领导定向共识网络中的集群问题。具体来说,我们提出了一种对图中所有聚类进行分类的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clusters in multi-leader directed consensus networks
In a directed graph a leader is a node that has no in-degree edges. If there are multiple leaders in a directed consensus network, the system will not reach consensus. In such systems the nodes will organize into clusters or groups of node that converge to the same value. These clusters are not dependent on initial conditions or edge weights. In this paper we study clusters in multi-leader directed consensus networks. Specifically, we present an algorithm to classify all clusters in the graph.
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