| 加权网络结构分析 |
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| 引用本文： | 潘琪,张海. 加权网络结构分析[J]. 纯粹数学与应用数学, 2013, 0(6): 634-640 |
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| 作者姓名： | 潘琪 张海 |
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| 作者单位： | 西北大学大学数学系,陕西西安710127 |
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| 基金项目： | 国家自然科学基金（11171272）. |
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| 摘 要： | 网络研究已经成为机器学习领域中的热点问题之一，近年来发展起来的随机块模型是通过建模生成网络的一种方法．本文对随机块模型加以推广，建立加权的随机块模型，在求解过程中，采用一种可以广泛的用于求解混合模型的变分EM算法．最后通过数据模拟，证明了此方法的可行性．
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| 关 键 词： | 随机块模型 混合模型 变分EM方法 |
Structural analysis of weighted networks |
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| Pan Qi,Zhang Hai. Structural analysis of weighted networks[J]. Pure and Applied Mathematics, 2013, 0(6): 634-640 |
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| Authors: | Pan Qi Zhang Hai |
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| Affiliation: | (Department of Mathematics, Northwest University, Xi＇an 710127, China) |
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| Abstract: | Network research has become a hot topic in the field of machine learning. Developed in recent years the stochastic block model is a method of generating network by modeling. This paper extends the stochastic block model, the establishment of a weighted random block model.In the solution process, you can use a wide range of models for solving mixed variational EM algorithm. Finally, through numerical simulations we prove the feasibility of this approach. |
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| Keywords: | stochastic block model mixed model variational |
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