An improved sampling method of complex network

Qi Gao, Xintong Ding, Feng Pan*, Weixing Li

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

18 引用 (Scopus)

摘要

Sampling subnet is an important topic of complex network research. Sampling methods influence the structure and characteristics of subnet. Random multiple snowball with Cohen (RMSC) process sampling which combines the advantages of random sampling and snowball sampling is proposed in this paper. It has the ability to explore global information and discover the local structure at the same time. The experiments indicate that this novel sampling method could keep the similarity between sampling subnet and original network on degree distribution, connectivity rate and average shortest path. This method is applicable to the situation where the prior knowledge about degree distribution of original network is not sufficient.

源语言英语
文章编号1440007
期刊International Journal of Modern Physics C
25
5
DOI
出版状态已出版 - 5月 2014

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