Betweenness centrality and Q-measures in directed valued networks

被引：26
|
作者：
Rousseau, Ronald [1 ,2 ,3 ]
Zhang, Lin [3 ,4 ,5 ]
机构：
[1] KHBO Assoc KU Leuven, Dept Ind Sci & Technol, B-8400 Oostende, Belgium
[2] Hasselt Univ UHasselt, Diepenbeek, Belgium
[3] Katholieke Univ Leuven, Steunpunt O&O Indicatoren, Louvain, Belgium
[4] Henan Normal Univ, Inst Sci Technol & Soc, Xinxiang, Peoples R China
[5] Dalian Univ Technol, WISE LAB, Dalian, Peoples R China
来源：
SCIENTOMETRICS | 2008年 / 75卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Maximum Flow; Social Network Analysis; Betweenness Centrality; Citation Network; Directed Network;
D O I：
10.1007/s11192-007-1772-2
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Q-measures express the bridging function of nodes in a network subdivided into two groups. An approach to Q-measures in the context of weighted or valued directed networks is proposed. This new approach uses flow centrality as the main concept. Simple examples illustrate the definition.
引用
收藏
页码：575 / 590
页数：16
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