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Nestedness

The recommended measure of nestedness (working both for deterministic and probabilistic networks) is η:

# EcologicalNetwork.ηFunction.

Nestedness η of a matrix

η(N::Union{BipartiteNetwork, BipartiteProbaNetwork})

This returns the nestedness of the entire matrix, of the columns, and of the rows.

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We also implement NODF, for deterministic networks, and its quantitative variant WNODF:

# EcologicalNetwork.nodfFunction.

Nestedness based on Overlap and Decreasing Fill

nodf(N::Union{BipartiteNetwork,BipartiteQuantiNetwork})

If the network is quantitative, then WNODF is measured instead of NODF. Note that in all situations, the value goes between 0 (not nested) to 1 (perfectly nested). This is a change with regard to the original papers, in which the maximal value is 100. The values returned are the nestedness of the network, of the columns, and of the rows.

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