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Relative, local and global dimension in complex networks: code

descriptionPublicationkeyboard_double_arrow_right Article 27 Apr 2022Publisher:ZenodoFunded by:UKRI | EPSRC Centre for Mathemat...
Authors: Peach, Robert; Arnaudon, Alexis; Barahona, Mauricio;

doi: 10.5281/zenodo.6496778 , 10.5281/zenodo.6496779

Relative, local and global dimension in complex networks: code

Abstract

Dynamic Graph Dimension (DynGDim) is a methodology for calculating the relative, local and global dimension of complex networks. See github: https://github.com/barahona-research-group/DynGDim

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Keywords

Networks, Dimension, Graphs, Python

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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