【摘 要】
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Random graphs with given vertex degrees have been widely used as a model for many real-world complex networks.We describe a sequential sampling method for sampling networks with a given degree sequenc
【机 构】
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University of Illinois at Urbana Champaign 725 S Wright St Champaign, IL, 61820, USA
【出 处】
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The Third IMS-China International Conference on Statistics a
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Random graphs with given vertex degrees have been widely used as a model for many real-world complex networks.We describe a sequential sampling method for sampling networks with a given degree sequence.These samples can be used to approximate closely the null distributions of a number of test statistics involved in such networks, and provide an accurate estimate of the total number of networks with given vertex degrees.We apply our method to a range of examples to demonstrate its efficiency in real problems.
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