Q-measures for binary divided networks:: Bridges between German and English institutes in publications of the Journal of Fluid Mechanics

被引:5
作者
Chen, Lixin [3 ,4 ]
Rousseau, Ronald [1 ,2 ]
机构
[1] KHBO Assoc KU Leuven, B-8400 Oostende, Belgium
[2] Hasselt Univ, Diepenbeek, Belgium
[3] Dalian Univ Technol, 21st Century Dev Res Ctr, Dalian, Peoples R China
[4] Henan Normal Univ, Inst Sci Technol & Soc, Xinxiang, Peoples R China
关键词
Social Network Analysis; Fluid Mechanics; Betweenness Centrality; Collaboration Network; Journal Citation Report;
D O I
10.1007/s11192-008-0103-6
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Q-measures for binary divided networks were introduced in 2004. These measures can value the status of notes as linkage (or bridges) between two groups in a connected undirected network. We collected data from the Web of Science and used a computer programme in order to study Qmeasures for an England-Germany collaboration network in fluid mechanics. The result indicates that Cambridge University, Manchester University, Technische Universitat Berlin, the Max Planck Institute, Stuttgart University and Forschungszentrum Karlsruhe play the most important roles as bridges between England and Germany. It is shown that having a high degree centrality and being a key node are important factors explaining the ranking of nodes in a network according to Q-value. It is observed that institutes with a high Q-value have, on average, a higher production than those with a lower Q-value.
引用
收藏
页码:57 / 69
页数:13
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