论文标题
分析角色提取问题的邻居模式相似性度量
Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem
论文作者
论文摘要
在本文中，我们分析了一种间接方法，称为邻里模式相似性方法，以解决大规模图的所谓角色提取问题。该方法基于节点相似性矩阵的初步构造，该矩阵允许在第二阶段中使用适当的聚类技术组合在一起，这些节点被分配为具有相同的作用。该分析建立在理想图的概念上，其中所有具有相同角色的节点在结构上都是等效的。
In this paper we analyze an indirect approach, called the Neighborhood Pattern Similarity approach, to solve the so-called role extraction problem of a large-scale graph. The method is based on the preliminary construction of a node similarity matrix which allows in a second stage to group together, with an appropriate clustering technique, the nodes that are assigned to have the same role. The analysis builds on the notion of ideal graphs where all nodes with the same role, are also structurally equivalent.
