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Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

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networkx.algorithms.centrality.trophic_differences

trophic_differences(G, weight='weight')

Compute the trophic differences of the edges of a directed graph.

The trophic difference \(x_ij\) for each edge is defined in Johnson et al. 1 as:

\[x_ij = s_j - s_i\]

Where \(s_i\) is the trophic level of node \(i\).

Parameters

G (DiGraph) – A directed networkx graph

Returns

diffs – Dictionary of edges with trophic differences as the value.

Return type

dict

References

1

Samuel Johnson, Virginia Dominguez-Garcia, Luca Donetti, Miguel A. Munoz (2014) PNAS “Trophic coherence determines food-web stability”