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Quantifying layer similarity in multiplex networks: a systematic study
November 30, 2017 Β· Declared Dead Β· π Royal Society Open Science
"No code URL or promise found in abstract"
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Authors
Piotr BrΓ³dka, Anna Chmiel, Matteo Magnani, Giancarlo Ragozini
arXiv ID
1711.11335
Category
cs.SI: Social & Info Networks
Cross-listed
physics.soc-ph
Citations
66
Venue
Royal Society Open Science
Last Checked
5 months ago
Abstract
Computing layer similarities is an important way of characterizing multiplex networks because various static properties and dynamic processes depend on the relationships between layers. We provide a taxonomy and experimental evaluation of approaches to compare layers in multiplex networks. Our taxonomy includes, systematizes and extends existing approaches, and is complemented by a set of practical guidelines on how to apply them.
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