中心性
学位(音乐)
节点(物理)
亲密度
操作化
数学
组合数学
卡茨中心性
中间性中心性
计算机科学
数据挖掘
物理
工程类
认识论
结构工程
数学分析
哲学
声学
作者
Tore Opsahl,Filip Agneessens,John Skvoretz
出处
期刊:Social Networks
[Elsevier]
日期:2010-07-01
卷期号:32 (3): 245-251
被引量:2504
标识
DOI:10.1016/j.socnet.2010.03.006
摘要
Ties often have a strength naturally associated with them that differentiate them from each other. Tie strength has been operationalized as weights. A few network measures have been proposed for weighted networks, including three common measures of node centrality: degree, closeness, and betweenness. However, these generalizations have solely focused on tie weights, and not on the number of ties, which was the central component of the original measures. This paper proposes generalizations that combine both these aspects. We illustrate the benefits of this approach by applying one of them to Freeman’s EIES dataset.
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