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

Bin Zhou, Zhe He, Nianxin Wang and Bing-Hong Wang

Physica A: Statistical Mechanics and its Applications, 2016, vol. 450, issue C, 682-686

Abstract: 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.

Keywords: complex networks; Network topology; Network similarity (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:450:y:2016:i:c:p:682-686

DOI: 10.1016/j.physa.2015.12.160

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