基于概率分布的复杂网络结构模块化方法研究

发布时间：2018-02-20 22:05

本文关键词： 概率分布复杂网络模块化吉布斯采样 LDA主题模型　出处：《微电子学与计算机》2017年06期 　论文类型：期刊论文

【摘要】：提出基于概率分布的复杂网络结构模块化方法.复杂网络结构模块化拥有一个专属流程,分为模块变量分配和结构化索引两个步骤.在模块变量分配中,所提方法构建出复杂网络模块概率分布模型,通过吉布斯采样获取模型学习样本.对样本进行监督,以获取模块条件概率函数真实解.用真实解表示模块比重,真实解的数量表示复杂网络结构模块数.在结构化索引中,所提方法利用LDA主题模型确定以上构建的模块化复杂网络是否成立.实验结果表明,所体方法构建出的模块化复杂网络具备较强线性.
[Abstract]:The modularization method of complex network structure based on probability distribution is proposed. The modularization of complex network structure has a special process, which is divided into two steps: module variable allocation and structured index. The proposed method is used to construct the probability distribution model of the complex network module and obtain the model learning samples by Gibbs sampling. The sample is supervised to obtain the real solution of the conditional probability function of the module, and the specific gravity of the module is expressed by the real solution. The number of real solutions represents the number of complex network modules. In the structured index, the proposed method uses the LDA topic model to determine whether the modular complex network constructed above is valid. The experimental results show that, The modular complex network constructed by the volume method has strong linearity.
【作者单位】：郑州财经学院信息工程学院;
【分类号】：O157.5

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