Visualization methods for longitudinal social networks and stochastic actor-oriented modeling

被引：31

作者：

Brandes, Ulrik ^{[1
]}

Indlekofer, Natalie ^{[1
]}

Mader, Martin ^{[1
]}

机构：

[1] Univ Konstanz, Dept Comp & Informat Sci, Constance, Germany

来源：

SOCIAL NETWORKS | 2012年 / 34卷 / 03期

关键词：

Longitudinal social networks; Dynamic network visualization; Stochastic actor-oriented models; Model fit; LAYOUT; GRAPHS;

D O I：

10.1016/j.socnet.2011.06.002

中图分类号：

Q98 [人类学];

学科分类号：

030303 ;

摘要：

As a consequence of the rising interest in longitudinal social networks and their analysis, there is also an increasing demand for tools to visualize them. We argue that similar adaptations of state-of-the-art graph-drawing methods can be used to visualize both, longitudinal networks and predictions of stochastic actor-oriented models (SAOMs), the most prominent approach for analyzing such networks. The proposed methods are illustrated on a longitudinal network of acquaintanceship among university freshmen. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：291 / 308

页数：18