基于关联度的无标度网络演化模型分析  

Evolution Model of Scale- free Network Based on Correlation Degree

作　　者：高玉[1] 周树民[1] 童恒庆[1] 

机构地区：[1]武汉理工大学理学院,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2014年第1期21-24,共4页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家自然科学基金资助项目(81271513)

摘　　要：针对无标度网络模型,考虑新增节点可能与系统存在关联的特性,提出了基于关联度的一种改进模型,从理论上对新模型的度分布进行了分析;通过计算,将度分布、聚类系数和平均路径长度等网络参数与适应度模型进行了比较,计算结果表明,关联度模型比适应度模型更优。An improved evolution model of scale - free network based on correlation degrees between the new node and the system was proposed. The degree distribution of the new model was analyzed theoretically. The parameters of new network, such as degree distribution, clustering coefficients and average path length, were calculated to compare with that of fitness model. The results show that the correlation degree model is better than the fitness model.

关 键 词：演化模型 关联度 适应度 度分布 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]