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maxnodf: An R package for fair and fast comparisons of nestedness between networks by Hoeppke, Christoph (author);Simmons, Benno I. (author);Freckleton, Robert (editor) is a Environmental Science article available to read on EtoBox.

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## Abstract Nestedness is a widespread pattern in mutualistic networks that has high ecological and evolutionary importance due to its role in enhancing species persistence and community stability. Nestedness measures tend to be correlated with fundamental properties of networks, such as size and connectance, and so nestedness values must be normalised to enable fair comparisons between different ecological communities. Current approaches, such as using null‐corrected nestedness values and z‐scores, suffer from extensive statistical issues. Thus a new approach called NODF~c~ was recently proposed, where nestedness is expressed relative to network size, connectance and the maximum nestedness that could be achieved in a particular network. While this approach is demonstrably effective in overcoming the issues of collinearity with basic network properties, it is computationally intensive to calculate, and current approaches are too slow to be practical for many types of analysis, or for analysing large networks. We developed three highly optimised algorithms, based on greedy, hill climbing and simulated annealing approaches, for calculation of NODF~c~, spread along a speed‐quality con

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Author

Hoeppke, Christoph (author);Simmons, Benno I. (author);Freckleton, Robert (editor)

Publisher

Wiley

Published

2021

Language

EN

Field

Environmental Science (Physical Sciences)