文章基本信息

标题：A New Social Network Sampling Algorithm Based on Temperature Conduction Model
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作者：Du, Xiaolin ; Ye, Yunming ; Li, Yueping 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2013
卷号：8
期号：11
页码：2688-2696
DOI：10.4304/jsw.8.11.2688-2696
语种：English
出版社：Academy Publisher
摘要：A popular solution to dealing with large-scale social networks is to derive a representative sample from a social network. This sample is expected to represent the original social network well such that the sampled network can be used for simulations and analysis. In this paper, we propose a new social network sampling algorithm based on the Temperature Conduction model. Our sampling approach is able to effectively maintain the topological similarity between the sampled network and its original network. We have evaluated our algorithm on several well-known data sets. The experimental results show that our algorithm outperforms the state-of-the-art methods.
关键词：sampling algorithm;temperature conduction;conduction boundary;topology structure