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A method of characterizing network topology based on the breadth-first search tree

机译:基于广度优先搜索树的网络拓扑特征描述方法

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摘要

A method based on the breadth-first search tree is proposed in this paper to characterize the hierarchical structure of network. In this method, a similarity coefficient is defined to quantitatively distinguish networks, and quantitatively measure the topology stability of the network generated by a model. The applications of the method are discussed in ER random network, WS small-world network and BA scale-free network. The method will be helpful for deeply describing network topology and provide a starting point for researching the topology similarity and isomorphism of networks. (C) 2016 Elsevier B.V. All rights reserved.
机译:提出了一种基于广度优先搜索树的方法来表征网络的层次结构。在此方法中,定义相似系数以定量区分网络,并定量测量模型生成的网络的拓扑稳定性。讨论了该方法在ER随机网络,WS小世界网络和BA无标度网络中的应用。该方法将有助于深入描述网络拓扑结构,为研究网络拓扑相似性和同构性提供一个起点。 (C)2016 Elsevier B.V.保留所有权利。

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