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Animating the Development of Social Networks over Time using a Dynamic Extension of Multidimensional Scaling. El Profesional de la Información (2008)
| Citations: | 9 - 6 self |
BibTeX
@MISC{Leydesdorff08animatingthe,
author = {Loet Leydesdorff and A Thomas Schank and B Andrea Scharnhorst and Wouter De Nooy D},
title = {Animating the Development of Social Networks over Time using a Dynamic Extension of Multidimensional Scaling. El Profesional de la Información},
year = {2008}
}
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Abstract
The animation of network visualizations poses technical and theoretical challenges. Rather stable patterns are required before the mental map enables a user to make inferences over time. In order to enhance stability, we developed an extension of stressminimization with developments over time. This dynamic layouter is no longer based on linear interpolation between independent static visualizations, but change over time is used as a parameter in the optimization. Because of our focus on structural change versus stability the attention is shifted from the relational graph to the latent eigenvectors of matrices. The approach is illustrated with animations for the journal citation environments of Social Networks, the (co-)author networks in the carrying community of this journal, and the topical development using relations among its title words. Our results are also compared with animations based on PajekToSVGAnim and SoNIA.
Keyphrases
social network multidimensional scaling dynamic extension el profesional theoretical challenge journal citation environment independent static visualization latent eigenvectors topical development network visualization structural change versus stability relational graph dynamic layouter linear interpolation mental map title word stable pattern author network
