This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
García-Algarra J, Pastor JM, Iriondo JM, Galeano J. (2017) Ranking of critical species to preserve the functionality of mutualistic networks using the k-core decomposition. PeerJ Preprints5:e2855v1https://doi.org/10.7287/peerj.preprints.2855v1
Mutualistic communities play an important role in biodiversity preservation. They are modeled as bipartite networks and measurements of centrality and degree help to order species and their relative importance for network robustness. Identifying the most endangered ones or those more prone to trigger cascade extinctions is essential to define conservation policies. In this work, we explain how a classical graph analysis tool, the k-core decomposition, provides new ranking magnitudes that reach outstanding performance for these purposes.
"Following" is like subscribing to any updates related to a preprint.
These updates will appear in your home dashboard each time you visit PeerJ.
You can also choose to receive updates via daily or weekly email digests.
If you are following multiple preprints then we will send you
no more than one email per day or week based on your preferences.
Note: You are now also subscribed to the subject areas of this preprint
and will receive updates in the daily or weekly email digests if turned on.
You can add specific subject areas through your profile settings.