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An introduction to spectral distances in networks
Giuseppe Jurman, Roberto Visintainer, Cesare Furlanello
227 - 234
10.3233/978-1-60750-692-8-227
Frontiers in Artificial Intelligence and Applications
Volume 226: Neural Nets WIRN10
Abstract

Many functions have been recently defined to assess the similarity among networks as tools for quantitative comparison. They stem from very different frameworks - and they are tuned for dealing with different situations. Here we show an overview of the spectral distances, highlighting their behavior in some basic cases of static and dynamic synthetic and real networks. In particular, we show examples where spectral distances are more effective than classical methods in assessing network differences.

$35.00 / €27.50 / £22.00
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