一种加权网络聚类运算中权与相似度转换方法  

A Fashion of Weight to Similarity for Detecting Community in Weighted Complex Network

作　　者：杜隆胤[1] 郑军[1] 于涛[1] Du Long-yin;Zheng Jun;Yu Tao(College of Mathematics and Information Science,Guiyang University,Guizhou Guiyang 550003)

机构地区：[1]贵阳学院数学与信息科学学院,贵州贵阳550003

出　　处：《电子质量》2016年第9期49-50,55,共3页Electronics Quality

基　　金：贵州省联合基金项目:基于复杂网络社团结构的分类算法研究(编号:黔科合J字LKG[2013]44号)

摘　　要：加权网络采用无权网络社团划分方法完成聚类运算,会丢失大量关键信息。针对加权网络中权的实际意义以及对聚类结果的贡献,分析了复杂网络聚类运算中权值对聚类结果的影响方式,分类拟合出"权—相似度"转换公式。为加权网络聚类运算中权的有效使用提供了计算途径。If we detect community in weighted complex network just like in normal complex network,we would lost a lot of key information which have included in weight.In this paper,we analyze the relationship between weight and network cluster structure,design a series of formulae to fit the weight's contribution to clustering.These formulae offer an approach to use weight for detecting community in weighted complex network.

关 键 词：加权网络 聚类运算 相似度 

分 类 号：O157.5[理学—数学]