Analyzing large scale exchange networks

被引:2
|
作者
Willer, David [1 ]
van Assen, Marcel A. L. M. [2 ]
Emanuelson, Pamela [3 ]
机构
[1] Univ S Carolina, Dept Sociol, Columbia, SC 29208 USA
[2] Tilburg Univ, Dept Methodol & Stat, Sch Social & Behav Sci, Tilburg, Netherlands
[3] N Dakota State Univ, Dept Sociol & Anthropol, Fargo, ND USA
关键词
Networks; Subnetworks; Exchange; Power; POWER; MODEL; PREDICTIONS;
D O I
10.1016/j.socnet.2011.11.001
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
Exchange theories or their implementations in algorithms have limited utility because they can be applied only to quite small networks. They cannot be applied to larger networks until that size limit is removed. Domain Analysis cuts networks into smaller pieces at the boundaries of strong power domains. Domain Analysis identifies strong power and breaks, and distinguishes domains that function exactly as they would were they free-standing, and components that do not. Support for the finding of breaks and the distinction between domains and components are obtained using both experimental data and simulations based on X-Net. To illustrate the use of Domain Analysis, it is applied to find the incidence of strong power in large exchange networks. The application shows that the incidence of strong power decreases as network density increases, and that strong power occurs only infrequently in dense networks. We conclude by calling for ever more general analytic procedures. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:171 / 180
页数:10
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