基于相对熵的节点影响力测量方法

被引：4

作者：

陈俊华

边宅安

李慧嘉

关闰丹

机构：

[1] 中央财经大学管理科学与工程学院

来源：

计算机科学 | 2018年 / 45(S2)卷 / S2期

关键词：

复杂网络; 中心节点; 中心性测度; 相对熵; TOPSIS法;

D O I：

暂无

中图分类号：

O157.5 [图论];

学科分类号：

070104 ;

摘要：

识别中心节点是复杂网络分析的一个关键问题。文中结合现有的中心性测度方法,提出了一种利用TOPSIS法的相对熵,以此识别网络中的中心节点。现有的中心性测度方法可以被看作在复杂网络中确定各节点属性的排名。因此,提出的方法可以利用各种中心性测度方法的优点,获得一个更优的排名结果。最后用数值实验验证了所提方法的有效性。

引用

页码：292 / 298

页数：7

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