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The final network contains awell-connected core of users resulting in a greatest connected component covering almostthe full network, with a high clustering coefficient.
Scatterplots of relative size of the greatest connected component ( S gcc / | A ( b ) | ), relative number of connected components ( N cc / | A ( b ) | ), and clustering coefficient (C) vs. number of nodes in the G ( b ) graph.
Number of nodes ( N = | A ( b ) | ), number of edges (E), size of the greatest connected component ( S gcc ), number of connected components ( N cc ), average out-degree (K) and clustering coefficient (C) are shown.
In Figure 10 we report the relative size of the greatest connected component ( S gcc / | A ( b ) | ), the relative number of connected components ( N cc / | A ( b ) | ), and the clustering coefficient (C) against the size of the book graph ( | A ( b ) | ).
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Relative size of greatest connected components ( S gcc / | A ( b ) | ) and clustering coefficient (C) vs. average out degree ( 〈 k 〉 ), averaged at fixed values of 〈 k 〉.
The reduced PIN had several connected components, the maximally connected component containing approximately 95% of the original nodes.
Finally, largest connected component is kept and other connected components are removed.
Lemma 3 The merged cycle of and either cover two strongly connected components separately or one strongly connected component together.
The largest connected component in a network is called the giant connected component.
connected component.
Largest connected component.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com