Visualization Methods for Longitudinal Social Networks and Stochastic Actor-Oriented Modeling
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Date
2012-07
Publication Type
Journal Article
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no
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Abstract
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.
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Publication status
published
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Journal / series
Volume
34 (3)
Pages / Article No.
291 - 308
Publisher
Elsevier
Event
Edition / version
Methods
Software
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Date collected
Date created
Subject
Longitudinal social networks; Dynamic network visualization; Stochastic actor-oriented models; Model fit
Organisational unit
09610 - Brandes, Ulrik / Brandes, Ulrik